Rachit Jain Email & Phone Number

Hartford, Connecticut, US

Woonsocket, RI, US

Alphen Aan Den Rijn, NL

• Deployed end-to-end document classification capability, outperforming status quo by 5% F1 & lowering processing time by 10X
• Implemented robust multi-modal pipeline with FastAPI integration; chosen in Top 10 MIT capstones & demonstrated live globally

Cambridge, MA, US

• Re-engineered published work on liver transplantation, surpassing updated national policy by 7% AUC, saving 430 more lives yearly
• Streamlined experiments over HPC clusters, validated model equity & interpretability; work presented to national committee (UNOS)

Foster City, California, US

• Identified inherent value of SMB digitization for economic growth from US county-level aggregation of geographical drivers
• Leveraged K-Means & interpretable clustering to guide business and policy decision-making to uplift SMB growth
• Predicted digitization with 93% accuracy using holistic regression on clusters from Optimal Classification Trees
• Spotted potential investment hotspots for VISA; presented actionable insights to Chief Data Officer & Data Science team

• Developed a Python script to convert a collection of daily tradebook statements from Zerodha to taxation statement, holding statement, and capital gain report
• Built taxation reports with stock-wise detailing for all kinds of charges applied by Zerodha and the individual tax amounts for ease of taxation

Boston, Massachusetts, US

• Designed an industry-agnostic, multi-target time-series forecasting solution utilizing temporal exogenous features
• Worked with Time Series Forecasting models like FBProphet, SARIMAX, LSTM, XGBoost, etc.
• Deployed end-to-end ML pipeline using Kubernetes with pilot over Streamlit
• Documented every technical detail over GitHub for further development and implementation
• Presented a working demo to Director Data Science; bagged Pre-Placement Offer for exceptional performance

New Delhi, IN

• Engineered an automated financial reconciliation model with SKU-level granularity over deductions levied by suppliers
• Evaluated overcharges and other deductions imposed by marketplaces to point out excess charges on the settlement value
• Congregated order sheets and payment, settlement, return & reimbursement reports to identify leakage of 2% of total revenue in overcharge
• Prescribed profitable price bucketing strategy and promotional techniques to CEO

IN-Mumbai, Delhi, Banglore, ME-Dubai, IN

• Devised a category-wide, cross-platform product matching model leveraging NLP and data imputation techniques
• Enriched data scraped from online marketplaces with extensive data wrangling
• Utilized ML techniques like regression and decision trees to achieve 94% recall over a real-world, noisy dataset
• Code-documentation and presentation regarded as ‘gold-standard’ by Co-Founder

Gurugram, Haryana, IN

• Improved the productivity and conversion rate of Field Executives (FE) in last-mile deliveries by optimized Delivery Centre (DC) functioning & FE routing
• Documented work-flow at DCs via multiple field visits to understand the practical, on-ground implementation
• Collaborated with senior analysts to flag bad addresses using R; got introduced to Machine Learning

Master Of Business Analytics (Mban), Data Science

Master'S Degree

Cross-Registration From Mit

B.Tech, Major In Mechanical Engineering

Xii, Science (Non-Medical)

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