Analyzes YouTube comments using advanced AI to extract viewer sentiment and generate actionable insights. Combines YouTube Data API v3, Hugging Face Transformers, and Gemini AI to classify 500+ com…

Autonomous Data Agent that cleans, analyzes, and models datasets using Python, RAPIDS, PyTorch, TensorFlow, XGBoost, LightGBM, CatBoost, SHAP/LIME, NeMo, and Streamlit, delivering GPU-accelerated, …

An end-to-end analytics project using Python, SQL, & ML to forecast Amazon sales and segment customers. We build predictive models (LightGBM, Prophet) and clustering (KMeans) to deliver actionable …

This project leverages SQL and Python to analyze Walmart sales data, uncovering trends, inefficiencies, and regional performance gaps. The goal is to deliver actionable insights that support data-d…

Real-time data pipeline using Apache Kafka & AWS MSK. Streams CDC data from RDS to S3 via Kafka Connect. Ideal for mastering cloud-native big data integration

This deep learning project for breast cancer detection using PyTorch. It performs exploratory data analysis to understand patterns and distributions, followed by preprocessing and feature scaling. …

This un-supervised machine learning project applies unsupervised clustering to customer records from a grocery firm's database to segment customers based on their behavior. It includes data preproc…

This SQL project examining customer purchase patterns by demographics, periods, and product categories. It encompasses data cleaning, transaction metrics, revenue insights, and customer segmentatio…

Built an Interactive Revenue Trends Dashboard using Tableau & SQL Server. Applied data cleaning, EDA & advanced SQL on Kaggle sales data to highlight KPIs, YoY performance, category trends & region…

Analyzes data from 5,000 students to uncover how academics, extracurriculars, and skills affect career outcomes like salary and job offers. Using Python (NumPy, Pandas, Seaborn ), it includes data …

This supervised machine learning project uses European credit card transaction data (Sept 2013) to build fraud detection models. It explores the highly unbalanced PCA-transformed dataset and compar…

This project utilizes SQL for ETL, Power BI for data visualization, and Machine Learning (RandomForest) for predictive modeling. It provides insights into churn patterns, customer segmentation, and…

This Sales Analysis Dashboard offers insights into regional sales, category performance, and order trends through interactive visualizations. Developed using Microsoft Excel, it supports data-drive…