MOHAMMAD IMTIAZ AHMED

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This project analyzes electric vehicle (EV) sales data in India and presents key insights using an interactive Power BI dashboard. The objective is to understand EV adoption trends, penetration rates, manufacturer performance, and sales growth across different states and vehicle categories.

Flipkart Customer Support Data Analysis & CSAT Prediction using EDA and Machine Learning. This project analyzes customer support interactions to identify key satisfaction drivers and builds ML models to predict CSAT scores

This project focuses on analyzing Strava smart fitness device data to understand user activity patterns, calorie expenditure, and overall fitness behavior. The project demonstrates an end-to-end data analytics workflow using SQL, Python, and Power BI, suitable for internship and entry-level data analyst roles.

Predict which employees are likely to leave the company using HR data.

This repository contains all the tasks, projects, and resources completed as part of the Cloud AI with AWS Internship. It serves as a central hub for uploading project files, code, documentation, and updates throughout the internship duration.

This project represents a full-scale redesign of Zidio’s Online Learning Platform, crafted to enhance clarity, consistency, and usability across devices. I treated the platform like a living system—studying its pulse, understanding its friction points, and guiding it toward a more intuitive and engaging experience.

Sales Data Analysis Dashboard – A comprehensive dashboard that analyzes Amazon sales data to identify key sales trends, track performance metrics, and support data-driven business decisions.

As part of Week 1 of the WeIntern program, the "House Price Prediction" project applies machine learning to forecast housing prices. Using Python libraries like NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, and XGBoost, it delivers an end-to-end, data-driven solution for accurate price estimation.

AI-Powered Stock Market Dashboard – Built at Codec Technologies during internship. Developed a real-time dashboard using Python, Streamlit, and scikit-learn to deliver live market data, technical analysis, and machine learning–based price predictions, providing intelligent insights for informed investment decisions.

AI-Powered Customer Support Chatbot – Built at Codec Technologies during internship. Developed an intelligent chatbot using Streamlit, LangChain, and MySQL to assist users in browsing products, checking prices, tracking orders, and updating profiles through natural language queries.

Automated Resume Parser – Built at Codec Technologies during internship. Designed an intelligent parser that extracts candidate details (name, contact, skills, experience, education) from PDF/DOCX resumes and converts them into structured data, enhancing recruitment efficiency.

A complete ML pipeline for classifying email replies into positive, negative, or neutral. Features baseline (Logistic Regression) and transformer (DistilBERT) models, evaluation with Accuracy & F1, and deployment via FastAPI /predict API with Docker support. Built for SvaraAI Internship.

This Supply Chain Analysis project uses Power BI to explore cost, logistics, production, and performance data for a fashion and beauty startup. It identifies key operational inefficiencies and provides interactive dashboards to support data-driven decision-making and profitability improvement

The Expense Tracker is a Java-based application designed to help users manage their finances by tracking income and expenses. It features a user-friendly interface, categorization of transactions, and real-time balance updates, making budgeting simple and effective.

The Brick Breaker Game is an engaging Java-based arcade game where players control a paddle to bounce a ball and break bricks. With dynamic gameplay, intuitive controls, and score tracking, it offers a fun and interactive experience for gamers of all ages.

The Link Shortener Application is a Java-based tool that converts long URLs into concise, shareable links. It features an intuitive interface, efficient URL mapping, and a database for storing and retrieving shortened links, offering a seamless user experience for managing URLs.

The Online Quiz Application is a Java-based project that allows users to take quizzes in a user-friendly interface. It supports features like multiple-choice questions, a timer, scoring, and result display. Designed to be interactive and efficient, it’s perfect for learning or assessments!

AI-powered issue reporting system with voice input, smart classification, and a modern admin dashboard.

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

"An AI/ML-based system that predicts employee salaries using the RandomForestRegressor model. The project leverages data-driven insights to provide accurate salary predictions, supporting better decision-making in HR and workforce planning."

"A blockchain-based credential verification system that ensures security, transparency, and efficiency in hiring processes. This decentralized framework empowers universities, companies, and students with tamper-proof, authenticated records, streamlining verification and fostering trust in the hiring ecosystem."

"An NLP-based system for extractive text summarization that automatically identifies and presents the most relevant sentences from large documents. This project enhances information retrieval by delivering concise, coherent, and meaningful summaries for faster understanding and decision-making."

"A dynamic web application for attendance management using QR codes. Designed to eliminate proxy attendance, it provides a secure, real-time, and efficient solution for tracking student and employee presence with ease."

"A Python-based web application chatbot for disease diagnosis that interacts with users, analyzes symptoms, and provides preliminary health guidance. Designed to offer quick, accessible, and user-friendly medical support using NLP techniques."

The Amazon Sales Analysis project leverages Power BI & SQL to analyze an E-commerce dataset sourced from Kaggle. This analysis uncovers key insights into sales trends, customer behavior, product performance, and revenue patterns, enabling data-driven decision-making.

"Chat with Your Documents" is an advanced feature or tool that allows users to interact with their documents conversationally. Instead of manually searching for specific information in long PDFs, Word documents, or text files, users can ask questions in natural language, and the system will retrieve or summarize the relevant content.

"A user-friendly registration form designed to capture essential user information efficiently, featuring responsive design, input validation, and seamless integration for a smooth onboarding experience."

"A robust real-time collaboration tool built with MERN technology (MongoDB, Express.js, React, Node.js), enabling teams to work together seamlessly with live updates, intuitive interfaces, and scalable performance."

"An elegantly designed eCommerce product page that highlights key product details with stunning visuals, concise descriptions, and seamless call-to-action buttons, offering an intuitive shopping experience."