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Connor M.

@connorm0

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Web & AI Expert

$35 USD / hora

・

United States (8:24 PM)

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Entrou em outubro 31, 2024

$35 USD / hora

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Hi, I'm Connor Murphy, a skilled and versatile full-stack developer with 10 years of experience in building dynamic, high-performance web applications. I specialize in both front-end and back-end development, with expertise in technologies such as PHP, Javascript and Python. My passion is creating scalable, user-friendly solutions that meet business goals and enhance user experience. Whether it's developing from scratch or optimizing existing systems, I'm here to bring your vision to life!

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Ver todos PHP Developers em United States

Portfólio

Portfólio

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Developed a predictive maintenance system for an industrial equipment manufacturer to reduce downtime and prevent equipment failures. The system used historical sensor data and machine learning algorithms to predict equipment failures before they occurred, allowing for proactive maintenance scheduling.

Predictive Maintenance System for Industrial Equipment

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Developed a personalized recommendation engine for an e-commerce platform that dynamically suggests products based on user behavior, purchase history, and browsing patterns. The system uses machine learning algorithms to predict user preferences and recommend relevant products, resulting in a 15% increase in sales and improved user retention.

AI-Powered E-commerce Recommendation System

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Designed and implemented a real-time AI-powered chatbot using NLP techniques to automate customer support for a financial services company. The chatbot was capable of understanding and responding to customer queries, handling routine tasks like balance inquiries, transaction history, and fraud alerts, reducing the need for human intervention by 50%.

Real-Time AI Chatbot for Customer Support

Developed a predictive maintenance system for an industrial equipment manufacturer to reduce downtime and prevent equipment failures. The system used historical sensor data and machine learning algorithms to predict equipment failures before they occurred, allowing for proactive maintenance scheduling.

Predictive Maintenance System for Industrial Equipment

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