Archit Mahajan

I’m a Machine Learning-focused Computer Engineering student who’s built hands-on, production-minded solutions through internships at Reliance Retail, Rallis India, and Vodafone Idea Limited. I enjoy taking messy data through preprocessing and feature engineering, then turning it into forecasting and automation that measurably improves outcomes.

At Vodafone Idea Limited, I automated complaint resolution for International Roaming using Kafka + PySpark, reducing manual triage by 60%. I also consolidated 5+ workflows into a single UI, cutting agent handling time from 8 minutes to 90 seconds per case.

At Reliance Retail, I forecasted spare-parts demand with 82% accuracy using ARIMA + ML ensembles, reducing stockouts by 25%. I built an automated KPI scorecard for 50+ service centers, slashing management reporting TAT by 30%.

At Rallis India, I cleaned, engineered, and preprocessed 200K+ records, reducing missing data by 40% and improving model performance while reducing training time by 35%. I also publish research (IEEE paper on Prim’s vs. Kruskal’s MST) and build projects like an AI-Powered Company Valuation System, plus a real-time MERN real estate marketplace with secure authentication.