Projects

🚀) Optimizing Bank’s Financial NPAs Using Machine Learning (Python, ML Azure Studio)
• Analyzed BharatPe’s Merchant Loan Vending System and deviced loan default predicition system design for Banks and NBFCs
• Accumulated Inputs from Industry and Market Leaders on the software pipeline and Evaluated all the ML Algorithms on 6 Different performance Metrics.

🚀) Smart Water Management System (Python, MIT App Inventor, Google Firebase)
• Interpreted live imminent data from a wireless microcontroller(ESP8266) and displayed it on Android Application developed on MIT APP Inventor to track day-to-day devices to the users
• Data Storage system was designed in Google Firebase and the system followed norms stated by Government Of India

🚀) Food Demand Forecasting In United States Due to Russia-Ukranine Conflict. (Pandas-Profilling, Supervised Machine Learning)
• Implemented Pandas-Profiling to develop report for Exploratory Data Analysis
• Accomplished 6 Different Regression Algorithms starting from Linear Regression to XG Boost Regression
• Established Relationship between Principal Components and Random Forest Feature Importance

🚀) Interactive Dashboard for UK Customer Bank Data (Tableau)
• Compared the region wise average balance in-terms of its job classifications.Classified Region
• Created a global date range parameter. Include interactive filters for Job classifications and Highlighters for Region in the final dashboard

🚀) IBM Employee Attrition (: Python, Jupyter Environment)
• Interpreted Decision-Tree and Random Forest Algorithms Using Importance Plots and tuned hyper-parameters to imporve Accuracy by 5 percent.
• Created Interactive GUI Components in Jupyter notebooks using widgets.