Rishikesh Kashyap Ojha

No project description available.

An end-to-end retail transaction fraud detection pipeline featuring robust Python data engineering, supervised machine learning models, an interactive Streamlit application, and a multi-page Power BI executive dashboard.

Weekly SKU-level demand forecasting and inventory risk scoring for a multi-store retail chain - LightGBM model backtested against a seasonal-naive baseline, risk engine validated against ground truth, deployed via Streamlit.

An interactive dashboard for HR and finance to track employee expenses, optimize departmental budgets, and instantly visualize spending trends.

My data analyst learning journey 🚀 with notes 📝, explanations 💡, and Python 🐍 code. Topics include pandas 🐼, NumPy 🔢, Matplotlib 📊, and machine learning 🤖. Documenting progress 📈 and building a study resource 📚 for data analysis and insights.

No project description available.