I am an engineering Graduate specializing in software development, data analytics, and generative AI. My journey through internships and competitive projects has fueled my passion for machine learning, data science, and cybersecurity.

Key Experiences:

• Research Intern at Ernst & Young: Automated forensic accounting tasks and presented insights through data visualization.
• Finance Intern at Bigg Bulls: Gained experience in financial analysis, budgeting, and forecasting, supporting data-driven financial decisions.
• Generative AI Trainee at AGIE AI: Developed and optimized generative models, gaining hands-on experience with the latest in AI technologies.
• AI Conversation Design Intern at Convin.ai: Developed and fine-tuned Generative AI and NLP models for conversational applications, integrating NLP pipelines and pre-trained models to enhance chatbot performance.

• LLMs for Financial Analysis
  Automated bank transaction categorization using the Llama2 model, enhancing data labeling efficiency. Designed a personal finance dashboard to visualize categorized transactions and generate actionable insights.

• Structured RAG for PDF Information Extraction
  Utilized LangChain and OpenAI models to extract structured information from PDF documents, streamlining data retrieval and processing.

• Medical Assistant (Gen AI)
  Developed a Streamlit app using Google’s Generative AI to analyze medical images, assisting healthcare professionals with diagnostic insights.

• Supply Chain Analytics
  Built a Power BI dashboard to analyze supply chain metrics, including inventory levels, revenue, and profit trends.

• Dynamic Procurement Analytics
  Created a Power BI dashboard for procurement analysis, monitoring spending, savings, and vendor performance.

• Basic Ratio Analysis
  Developed a financial ratio analysis dashboard to evaluate profitability, liquidity, and leverage trends over a decade.

• Internal Audit Analysis
  Designed a Power BI dashboard for risk rating and audit outcome analysis, supporting compliance and risk management.

• Smart India Hackathon 2023 Finalist: Developed a machine learning model for real-time intrusion detection, enhancing cybersecurity measures.

• Programming Languages: Python, C, C++
• Data Tools: MySQL, Power BI, SQL, UiPath
• Tech Stack: Machine Learning, Data Science, Data Visualization, LLMs, Cybersecurity

I'm always expanding my knowledge in AI, data science, and cybersecurity to drive impactful solutions. Feel free to explore my repositories, and let’s connect for collaboration!

Connect with me on LinkedIn or reach out directly to discuss ideas or projects.