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AI Chatbot Development
AI Text-to-speech
LangChain
Machine Learning Algorithms
Natural Language Generation
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Allabaksh -.

@ConstientGS

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Your End-to-End AI Partners | 15+ Years | AI/ML

$30 USD / hora
・
Bandera de
India (12:43 p. m.)
・
Se unió el julio 9, 2024
$30 USD / hora
・
Constient is a leading software development company specializing in the design, development, and deployment of cutting-edge artificial intelligence (AI) and artificial intelligence markup language (AIML) solutions. With a rich legacy spanning over 15 years and counting, we have successfully delivered 1000+ projects for diverse clients across the USA, UK, and India. We pride ourselves on empowering businesses to harness the transformative power of AI to optimize operations, gain valuable insights, and achieve unprecedented levels of growth. Constient is not just an AI and machine learning (ML) development company; we are your strategic partner in harnessing the transformative power of artificial intelligence. Why Partner with Constient ? At Constient, we believe that AI is not just a technology but a strategic enabler. We take a holistic approach to AI adoption, working closely with our clients to understand their unique challenges and goals. Our experienced team of AI engineers, data scientists, and software developers collaborates seamlessly to craft bespoke solutions that address specific business needs. This approach guarantees cost-efficiency, scalability, and a seamless delivery experience. - Proven Expertise: Our team boasts a wealth of experience across a wide range of AI disciplines, including machine learning, natural language processing, computer vision, data science and more. We stay abreast of the latest advancements in AI research and technology, ensuring that our solutions are always at the forefront of innovation. - Focus on Business Value: We understand that AI is not just about technology but about achieving tangible business outcomes. Our solutions are designed to deliver measurable results, whether it's reducing costs, increasing efficiency, improving customer satisfaction, or driving revenue growth. - Commitment to Quality: We adhere to rigorous quality standards throughout the development process. Our solutions are thoroughly tested and validated to ensure optimal performance, accuracy, and reliability. - Global Reach Local Presence: With offices in the USA, UK, and India, we offer a cost-effective hybrid model that combines the best of onshore and offshore talent, ensuring local project management and support. Our Comprehensive Services include: AI Strategy & Consulting Custom AI Model Development Natural Language Processing (NLP) Machine Learning Computer Vision Data Science & Analytics Predictive Analytics Blockchain Development Custom software services And more... We are not just limited to all this we are ready to build a custom plan specific to you and your needs. Our Team & Culture: Our team of 200+ passionate professionals is our greatest asset. We foster a collaborative, inclusive environment where innovation thrives and everyone's ideas are valued. We are committed to continuous learning and staying ahead of the curve in the ever-evolving field of AI. Let's Build Your AI-Powered Future Together
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Freelancer LangChain Experts India
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Portafolio

12033435
Overview: Engineered a confidential LLM knowledge base for Local Enterprise LLM to unlock insights from their unstructured banking data. Key Challenges & Solutions: Data Security: Deployed LLM model within a private VM in the client's cloud. Banking Expertise: Developed a specialized LLM model for banking terminology and regulations. Multilingual Support: Enabled querying and responses in multiple languages. Roles & Responsibilities: Designed and optimized the LLM architecture using Llama 2. Implemented RAG pipelines for knowledge extraction. Integrated the model into the client's private cloud. Engineered multilingual support. Final Deliverables: Secure, scalable LLM knowledge base for Local Enterprise LLM. Demonstration model showcasing LLM capabilities. Documentation and user training. Skills & Technologies: Llama 2, RAG, Langchain, LORA, Python, PyTorch, Document Loaders, Speech Processing, Machine Translation, Private Cloud, Data Security, NLP, Generative AI.
Secure, Multilingual LLM Knowledge Base for Enterprise
Overview: Engineered a confidential LLM knowledge base for Local Enterprise LLM to unlock insights from their unstructured banking data. Key Challenges & Solutions: Data Security: Deployed LLM model within a private VM in the client's cloud. Banking Expertise: Developed a specialized LLM model for banking terminology and regulations. Multilingual Support: Enabled querying and responses in multiple languages. Roles & Responsibilities: Designed and optimized the LLM architecture using Llama 2. Implemented RAG pipelines for knowledge extraction. Integrated the model into the client's private cloud. Engineered multilingual support. Final Deliverables: Secure, scalable LLM knowledge base for Local Enterprise LLM. Demonstration model showcasing LLM capabilities. Documentation and user training. Skills & Technologies: Llama 2, RAG, Langchain, LORA, Python, PyTorch, Document Loaders, Speech Processing, Machine Translation, Private Cloud, Data Security, NLP, Generative AI.
Secure, Multilingual LLM Knowledge Base for Enterprise
Overview: Engineered a confidential LLM knowledge base for Local Enterprise LLM to unlock insights from their unstructured banking data. Key Challenges & Solutions: Data Security: Deployed LLM model within a private VM in the client's cloud. Banking Expertise: Developed a specialized LLM model for banking terminology and regulations. Multilingual Support: Enabled querying and responses in multiple languages. Roles & Responsibilities: Designed and optimized the LLM architecture using Llama 2. Implemented RAG pipelines for knowledge extraction. Integrated the model into the client's private cloud. Engineered multilingual support. Final Deliverables: Secure, scalable LLM knowledge base for Local Enterprise LLM. Demonstration model showcasing LLM capabilities. Documentation and user training. Skills & Technologies: Llama 2, RAG, Langchain, LORA, Python, PyTorch, Document Loaders, Speech Processing, Machine Translation, Private Cloud, Data Security, NLP, Generative AI.
Secure, Multilingual LLM Knowledge Base for Enterprise
12033350
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
12033398
Overview: This AI-powered inventory forecasting project revolutionizes retail inventory management. Our solution utilizes machine learning on historical sales data to generate accurate, weekly SKU-level predictions. This enables retailers to optimize inventory levels, reduce costs, and improve profitability. Key Roles: Data Architects: Designed and implemented a robust data architecture for handling large volumes of sales data. Machine Learning Engineers: Developed and optimized the ARIMA time series forecasting model for precise predictions. Web Developers: Built the interactive Streamlit dashboard using JavaScript, Flask, and Python for easy data visualization and decision-making. Impact: Cost Savings: Minimized overstock costs and clearance sales. Improved Efficiency: Optimized warehouse space and inventory replenishment. Enhanced Customer Satisfaction: Ensured product availability and reduced stockouts. Data-Driven Decision
Retail inventory management and prediction
Overview: This AI-powered inventory forecasting project revolutionizes retail inventory management. Our solution utilizes machine learning on historical sales data to generate accurate, weekly SKU-level predictions. This enables retailers to optimize inventory levels, reduce costs, and improve profitability. Key Roles: Data Architects: Designed and implemented a robust data architecture for handling large volumes of sales data. Machine Learning Engineers: Developed and optimized the ARIMA time series forecasting model for precise predictions. Web Developers: Built the interactive Streamlit dashboard using JavaScript, Flask, and Python for easy data visualization and decision-making. Impact: Cost Savings: Minimized overstock costs and clearance sales. Improved Efficiency: Optimized warehouse space and inventory replenishment. Enhanced Customer Satisfaction: Ensured product availability and reduced stockouts. Data-Driven Decision
Retail inventory management and prediction
Overview: This AI-powered inventory forecasting project revolutionizes retail inventory management. Our solution utilizes machine learning on historical sales data to generate accurate, weekly SKU-level predictions. This enables retailers to optimize inventory levels, reduce costs, and improve profitability. Key Roles: Data Architects: Designed and implemented a robust data architecture for handling large volumes of sales data. Machine Learning Engineers: Developed and optimized the ARIMA time series forecasting model for precise predictions. Web Developers: Built the interactive Streamlit dashboard using JavaScript, Flask, and Python for easy data visualization and decision-making. Impact: Cost Savings: Minimized overstock costs and clearance sales. Improved Efficiency: Optimized warehouse space and inventory replenishment. Enhanced Customer Satisfaction: Ensured product availability and reduced stockouts. Data-Driven Decision
Retail inventory management and prediction
12033376
Overview: Transformed a leading bank's churn management by developing an AI-powered predictive system. Key achievements Include: Precise Churn Prediction: Built a machine learning model to accurately identify at-risk customers. Churn Driver Analysis: Unearthed underlying factors influencing churn through meticulous data analysis. Interactive Dashboard: Created an intuitive dashboard for visualizing churn trends and campaign effectiveness. Roles and Responsibilities: Data Architects: Engineered a scalable, secure data architecture. Machine Learning Engineers: Developed and fine-tuned the predictive churn model. Data Analysts: Conducted data exploration to uncover actionable insights. Full-Stack Developers: Built an interactive dashboard. Project Managers: Orchestrated the project lifecycle. Final Delivery: High-performance churn model Comprehensive analysis report Interactive dashboard Skills Used: Python, Flask, JavaScript, Machine Learning, Data Science
Proactive Churn Prediction & Retention Booster
Overview: Transformed a leading bank's churn management by developing an AI-powered predictive system. Key achievements Include: Precise Churn Prediction: Built a machine learning model to accurately identify at-risk customers. Churn Driver Analysis: Unearthed underlying factors influencing churn through meticulous data analysis. Interactive Dashboard: Created an intuitive dashboard for visualizing churn trends and campaign effectiveness. Roles and Responsibilities: Data Architects: Engineered a scalable, secure data architecture. Machine Learning Engineers: Developed and fine-tuned the predictive churn model. Data Analysts: Conducted data exploration to uncover actionable insights. Full-Stack Developers: Built an interactive dashboard. Project Managers: Orchestrated the project lifecycle. Final Delivery: High-performance churn model Comprehensive analysis report Interactive dashboard Skills Used: Python, Flask, JavaScript, Machine Learning, Data Science
Proactive Churn Prediction & Retention Booster
12033475
Revolutionized moviegoer experience & revenue for cinema chain via AI-driven POS recommender. Increased AOV by personalizing product suggestions at checkout. Key Roles: Architects: Designed end-to-end system, including data pipelines & cloud deployment. Data Wranglers: Prepared customer purchase history & product data. Algorithm Aces: Employed collaborative filtering with 7-day moving window for recommendations. Market Basket Maestros: Performed analysis to identify high-value product combinations. Cloud Commanders: Deployed system on scalable cloud platform. Client Collaborators: Communicated progress & insights to cinema management. Deliverables: Production-ready, cloud-hosted AI engine for real-time recommendations at POS kiosks. Performance dashboard tracking AOV, conversion rates, & revenue. Comprehensive documentation. Technologies: Machine Learning: Collaborative filtering, TensorFlow, BERT NLP: Dialogflow ES Cloud: GCP, Cloud Functions Programming: Python
AI-Powered Point-of-Sale Upsell Engine for Movie Cinemas
Revolutionized moviegoer experience & revenue for cinema chain via AI-driven POS recommender. Increased AOV by personalizing product suggestions at checkout. Key Roles: Architects: Designed end-to-end system, including data pipelines & cloud deployment. Data Wranglers: Prepared customer purchase history & product data. Algorithm Aces: Employed collaborative filtering with 7-day moving window for recommendations. Market Basket Maestros: Performed analysis to identify high-value product combinations. Cloud Commanders: Deployed system on scalable cloud platform. Client Collaborators: Communicated progress & insights to cinema management. Deliverables: Production-ready, cloud-hosted AI engine for real-time recommendations at POS kiosks. Performance dashboard tracking AOV, conversion rates, & revenue. Comprehensive documentation. Technologies: Machine Learning: Collaborative filtering, TensorFlow, BERT NLP: Dialogflow ES Cloud: GCP, Cloud Functions Programming: Python
AI-Powered Point-of-Sale Upsell Engine for Movie Cinemas
12033459
Partnering with our client, we developed an AI-powered chatbot solution to revolutionize customer engagement in banking. Key Phases: Conversational Design: Crafted an advanced natural language understanding (NLU) model using Dialogflow ES, enabling accurate interpretation of diverse customer inquiries. Real-Time Interaction: Built a robust integration with Cloud Functions, leveraging serverless computing and gRPC for lightning-fast query processing. Data-Driven Intelligence: Empowered the chatbot with an extensive question bank and Tensorflow, ensuring accurate and personalized responses. Humanized Voice Synthesis: Implemented BERT for text-to-speech conversion, creating a natural and engaging conversational experience. Roles: Lead Developers: Managed technical architecture, development, and integration. Machine Learning Specialists: Fine-tuned NLU and voice synthesis for optimal performance. Client Liaisons: Maintained communication, provided updates, and gathered feedback.
AI-Powered Chatbot: Revolutionizing Customer Engagement
Partnering with our client, we developed an AI-powered chatbot solution to revolutionize customer engagement in banking. Key Phases: Conversational Design: Crafted an advanced natural language understanding (NLU) model using Dialogflow ES, enabling accurate interpretation of diverse customer inquiries. Real-Time Interaction: Built a robust integration with Cloud Functions, leveraging serverless computing and gRPC for lightning-fast query processing. Data-Driven Intelligence: Empowered the chatbot with an extensive question bank and Tensorflow, ensuring accurate and personalized responses. Humanized Voice Synthesis: Implemented BERT for text-to-speech conversion, creating a natural and engaging conversational experience. Roles: Lead Developers: Managed technical architecture, development, and integration. Machine Learning Specialists: Fine-tuned NLU and voice synthesis for optimal performance. Client Liaisons: Maintained communication, provided updates, and gathered feedback.
AI-Powered Chatbot: Revolutionizing Customer Engagement
Partnering with our client, we developed an AI-powered chatbot solution to revolutionize customer engagement in banking. Key Phases: Conversational Design: Crafted an advanced natural language understanding (NLU) model using Dialogflow ES, enabling accurate interpretation of diverse customer inquiries. Real-Time Interaction: Built a robust integration with Cloud Functions, leveraging serverless computing and gRPC for lightning-fast query processing. Data-Driven Intelligence: Empowered the chatbot with an extensive question bank and Tensorflow, ensuring accurate and personalized responses. Humanized Voice Synthesis: Implemented BERT for text-to-speech conversion, creating a natural and engaging conversational experience. Roles: Lead Developers: Managed technical architecture, development, and integration. Machine Learning Specialists: Fine-tuned NLU and voice synthesis for optimal performance. Client Liaisons: Maintained communication, provided updates, and gathered feedback.
AI-Powered Chatbot: Revolutionizing Customer Engagement
12033435
Overview: Engineered a confidential LLM knowledge base for Local Enterprise LLM to unlock insights from their unstructured banking data. Key Challenges & Solutions: Data Security: Deployed LLM model within a private VM in the client's cloud. Banking Expertise: Developed a specialized LLM model for banking terminology and regulations. Multilingual Support: Enabled querying and responses in multiple languages. Roles & Responsibilities: Designed and optimized the LLM architecture using Llama 2. Implemented RAG pipelines for knowledge extraction. Integrated the model into the client's private cloud. Engineered multilingual support. Final Deliverables: Secure, scalable LLM knowledge base for Local Enterprise LLM. Demonstration model showcasing LLM capabilities. Documentation and user training. Skills & Technologies: Llama 2, RAG, Langchain, LORA, Python, PyTorch, Document Loaders, Speech Processing, Machine Translation, Private Cloud, Data Security, NLP, Generative AI.
Secure, Multilingual LLM Knowledge Base for Enterprise
Overview: Engineered a confidential LLM knowledge base for Local Enterprise LLM to unlock insights from their unstructured banking data. Key Challenges & Solutions: Data Security: Deployed LLM model within a private VM in the client's cloud. Banking Expertise: Developed a specialized LLM model for banking terminology and regulations. Multilingual Support: Enabled querying and responses in multiple languages. Roles & Responsibilities: Designed and optimized the LLM architecture using Llama 2. Implemented RAG pipelines for knowledge extraction. Integrated the model into the client's private cloud. Engineered multilingual support. Final Deliverables: Secure, scalable LLM knowledge base for Local Enterprise LLM. Demonstration model showcasing LLM capabilities. Documentation and user training. Skills & Technologies: Llama 2, RAG, Langchain, LORA, Python, PyTorch, Document Loaders, Speech Processing, Machine Translation, Private Cloud, Data Security, NLP, Generative AI.
Secure, Multilingual LLM Knowledge Base for Enterprise
Overview: Engineered a confidential LLM knowledge base for Local Enterprise LLM to unlock insights from their unstructured banking data. Key Challenges & Solutions: Data Security: Deployed LLM model within a private VM in the client's cloud. Banking Expertise: Developed a specialized LLM model for banking terminology and regulations. Multilingual Support: Enabled querying and responses in multiple languages. Roles & Responsibilities: Designed and optimized the LLM architecture using Llama 2. Implemented RAG pipelines for knowledge extraction. Integrated the model into the client's private cloud. Engineered multilingual support. Final Deliverables: Secure, scalable LLM knowledge base for Local Enterprise LLM. Demonstration model showcasing LLM capabilities. Documentation and user training. Skills & Technologies: Llama 2, RAG, Langchain, LORA, Python, PyTorch, Document Loaders, Speech Processing, Machine Translation, Private Cloud, Data Security, NLP, Generative AI.
Secure, Multilingual LLM Knowledge Base for Enterprise
12033350
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
Developed a data-driven loan classification system for a major bank, leveraging historical data and machine learning to accurately classify loan risk. Implemented a robust MLOps pipeline on GCP using Kubeflow for automated model retraining and deployment. Key contributions: Ingested and cleaned historical loan data from BigQuery. Engineered features to enhance model performance. Developed a high-accuracy loan classification model using Scikit-learn. Built and deployed a scalable MLOps pipeline on GCP. Established comprehensive monitoring to track model performance. Collaborated with data scientists, machine learning engineers, and cloud engineers to deliver a production-ready model, automated MLOps pipeline, comprehensive documentation, and a monitoring dashboard. This project empowers the bank to proactively manage risk, optimize lending decisions, improve operational efficiency, and enhance customer satisfaction. Skills & Technologies: Machine learning, MLOps, GCP, Python.
Loan Classification system for bank
12033398
Overview: This AI-powered inventory forecasting project revolutionizes retail inventory management. Our solution utilizes machine learning on historical sales data to generate accurate, weekly SKU-level predictions. This enables retailers to optimize inventory levels, reduce costs, and improve profitability. Key Roles: Data Architects: Designed and implemented a robust data architecture for handling large volumes of sales data. Machine Learning Engineers: Developed and optimized the ARIMA time series forecasting model for precise predictions. Web Developers: Built the interactive Streamlit dashboard using JavaScript, Flask, and Python for easy data visualization and decision-making. Impact: Cost Savings: Minimized overstock costs and clearance sales. Improved Efficiency: Optimized warehouse space and inventory replenishment. Enhanced Customer Satisfaction: Ensured product availability and reduced stockouts. Data-Driven Decision
Retail inventory management and prediction
Overview: This AI-powered inventory forecasting project revolutionizes retail inventory management. Our solution utilizes machine learning on historical sales data to generate accurate, weekly SKU-level predictions. This enables retailers to optimize inventory levels, reduce costs, and improve profitability. Key Roles: Data Architects: Designed and implemented a robust data architecture for handling large volumes of sales data. Machine Learning Engineers: Developed and optimized the ARIMA time series forecasting model for precise predictions. Web Developers: Built the interactive Streamlit dashboard using JavaScript, Flask, and Python for easy data visualization and decision-making. Impact: Cost Savings: Minimized overstock costs and clearance sales. Improved Efficiency: Optimized warehouse space and inventory replenishment. Enhanced Customer Satisfaction: Ensured product availability and reduced stockouts. Data-Driven Decision
Retail inventory management and prediction
Overview: This AI-powered inventory forecasting project revolutionizes retail inventory management. Our solution utilizes machine learning on historical sales data to generate accurate, weekly SKU-level predictions. This enables retailers to optimize inventory levels, reduce costs, and improve profitability. Key Roles: Data Architects: Designed and implemented a robust data architecture for handling large volumes of sales data. Machine Learning Engineers: Developed and optimized the ARIMA time series forecasting model for precise predictions. Web Developers: Built the interactive Streamlit dashboard using JavaScript, Flask, and Python for easy data visualization and decision-making. Impact: Cost Savings: Minimized overstock costs and clearance sales. Improved Efficiency: Optimized warehouse space and inventory replenishment. Enhanced Customer Satisfaction: Ensured product availability and reduced stockouts. Data-Driven Decision
Retail inventory management and prediction
12033376
Overview: Transformed a leading bank's churn management by developing an AI-powered predictive system. Key achievements Include: Precise Churn Prediction: Built a machine learning model to accurately identify at-risk customers. Churn Driver Analysis: Unearthed underlying factors influencing churn through meticulous data analysis. Interactive Dashboard: Created an intuitive dashboard for visualizing churn trends and campaign effectiveness. Roles and Responsibilities: Data Architects: Engineered a scalable, secure data architecture. Machine Learning Engineers: Developed and fine-tuned the predictive churn model. Data Analysts: Conducted data exploration to uncover actionable insights. Full-Stack Developers: Built an interactive dashboard. Project Managers: Orchestrated the project lifecycle. Final Delivery: High-performance churn model Comprehensive analysis report Interactive dashboard Skills Used: Python, Flask, JavaScript, Machine Learning, Data Science
Proactive Churn Prediction & Retention Booster
Overview: Transformed a leading bank's churn management by developing an AI-powered predictive system. Key achievements Include: Precise Churn Prediction: Built a machine learning model to accurately identify at-risk customers. Churn Driver Analysis: Unearthed underlying factors influencing churn through meticulous data analysis. Interactive Dashboard: Created an intuitive dashboard for visualizing churn trends and campaign effectiveness. Roles and Responsibilities: Data Architects: Engineered a scalable, secure data architecture. Machine Learning Engineers: Developed and fine-tuned the predictive churn model. Data Analysts: Conducted data exploration to uncover actionable insights. Full-Stack Developers: Built an interactive dashboard. Project Managers: Orchestrated the project lifecycle. Final Delivery: High-performance churn model Comprehensive analysis report Interactive dashboard Skills Used: Python, Flask, JavaScript, Machine Learning, Data Science
Proactive Churn Prediction & Retention Booster
12033475
Revolutionized moviegoer experience & revenue for cinema chain via AI-driven POS recommender. Increased AOV by personalizing product suggestions at checkout. Key Roles: Architects: Designed end-to-end system, including data pipelines & cloud deployment. Data Wranglers: Prepared customer purchase history & product data. Algorithm Aces: Employed collaborative filtering with 7-day moving window for recommendations. Market Basket Maestros: Performed analysis to identify high-value product combinations. Cloud Commanders: Deployed system on scalable cloud platform. Client Collaborators: Communicated progress & insights to cinema management. Deliverables: Production-ready, cloud-hosted AI engine for real-time recommendations at POS kiosks. Performance dashboard tracking AOV, conversion rates, & revenue. Comprehensive documentation. Technologies: Machine Learning: Collaborative filtering, TensorFlow, BERT NLP: Dialogflow ES Cloud: GCP, Cloud Functions Programming: Python
AI-Powered Point-of-Sale Upsell Engine for Movie Cinemas
Revolutionized moviegoer experience & revenue for cinema chain via AI-driven POS recommender. Increased AOV by personalizing product suggestions at checkout. Key Roles: Architects: Designed end-to-end system, including data pipelines & cloud deployment. Data Wranglers: Prepared customer purchase history & product data. Algorithm Aces: Employed collaborative filtering with 7-day moving window for recommendations. Market Basket Maestros: Performed analysis to identify high-value product combinations. Cloud Commanders: Deployed system on scalable cloud platform. Client Collaborators: Communicated progress & insights to cinema management. Deliverables: Production-ready, cloud-hosted AI engine for real-time recommendations at POS kiosks. Performance dashboard tracking AOV, conversion rates, & revenue. Comprehensive documentation. Technologies: Machine Learning: Collaborative filtering, TensorFlow, BERT NLP: Dialogflow ES Cloud: GCP, Cloud Functions Programming: Python
AI-Powered Point-of-Sale Upsell Engine for Movie Cinemas
12033459
Partnering with our client, we developed an AI-powered chatbot solution to revolutionize customer engagement in banking. Key Phases: Conversational Design: Crafted an advanced natural language understanding (NLU) model using Dialogflow ES, enabling accurate interpretation of diverse customer inquiries. Real-Time Interaction: Built a robust integration with Cloud Functions, leveraging serverless computing and gRPC for lightning-fast query processing. Data-Driven Intelligence: Empowered the chatbot with an extensive question bank and Tensorflow, ensuring accurate and personalized responses. Humanized Voice Synthesis: Implemented BERT for text-to-speech conversion, creating a natural and engaging conversational experience. Roles: Lead Developers: Managed technical architecture, development, and integration. Machine Learning Specialists: Fine-tuned NLU and voice synthesis for optimal performance. Client Liaisons: Maintained communication, provided updates, and gathered feedback.
AI-Powered Chatbot: Revolutionizing Customer Engagement
Partnering with our client, we developed an AI-powered chatbot solution to revolutionize customer engagement in banking. Key Phases: Conversational Design: Crafted an advanced natural language understanding (NLU) model using Dialogflow ES, enabling accurate interpretation of diverse customer inquiries. Real-Time Interaction: Built a robust integration with Cloud Functions, leveraging serverless computing and gRPC for lightning-fast query processing. Data-Driven Intelligence: Empowered the chatbot with an extensive question bank and Tensorflow, ensuring accurate and personalized responses. Humanized Voice Synthesis: Implemented BERT for text-to-speech conversion, creating a natural and engaging conversational experience. Roles: Lead Developers: Managed technical architecture, development, and integration. Machine Learning Specialists: Fine-tuned NLU and voice synthesis for optimal performance. Client Liaisons: Maintained communication, provided updates, and gathered feedback.
AI-Powered Chatbot: Revolutionizing Customer Engagement
Partnering with our client, we developed an AI-powered chatbot solution to revolutionize customer engagement in banking. Key Phases: Conversational Design: Crafted an advanced natural language understanding (NLU) model using Dialogflow ES, enabling accurate interpretation of diverse customer inquiries. Real-Time Interaction: Built a robust integration with Cloud Functions, leveraging serverless computing and gRPC for lightning-fast query processing. Data-Driven Intelligence: Empowered the chatbot with an extensive question bank and Tensorflow, ensuring accurate and personalized responses. Humanized Voice Synthesis: Implemented BERT for text-to-speech conversion, creating a natural and engaging conversational experience. Roles: Lead Developers: Managed technical architecture, development, and integration. Machine Learning Specialists: Fine-tuned NLU and voice synthesis for optimal performance. Client Liaisons: Maintained communication, provided updates, and gathered feedback.
AI-Powered Chatbot: Revolutionizing Customer Engagement
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Experiencia
AI/ML Development
ene, 2000 - Presente
•
24 años, 11 meses
Constient
ene, 2000 - Presente
•
24 años, 11 meses
The core of our organizational culture is a strong sense of belonging. We are deeply dedicated to fostering diversity and inclusivity, which consistently drives innovation and business expansion. Our team of 200+ passionate professionals is our greatest asset. We foster a collaborative, inclusive environment where innovation thrives and everyone's ideas are valued. We are committed to continuous learning and staying ahead of the curve in the ever-evolving field of AI.
ene, 2000 - Presente
•
24 años, 11 meses
Calificaciones
Leadership Excellence in Technology & Innovation
2024
Leadership Federation, Dubai
The award was given in 2024 as Leadership Excellence in Technology & Innovation. Given by Leadership Federation, Dubai
2024
Excellence in Delivery in Revamping Custom Acquisition Journey
2023
State Bank of India Securities, Ind
The award was given in 2023 as Excellence in Delivery in Revamping Custom Acquisition Journey. Given by the State Bank of India Securities, Ind.
2023
Delivery Excellence Award
2022
Vurbil Inc, USA
The award was given in 2022 as the Delivery Excellence Award. Given by Vurbil Inc, USA
2022
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