Uday Chaudhari

Data Science manager for machine learning and deep learning working on WNS’ Skense platform which uses OCR based NLP to extract key information from documents. Worked on deploying chatbot in AWS EC2. Functioning as a technical lead, successfully lead the team with 2 data scientists, 2 DevOps resources, and 2 analytics Resources for deploying text extraction algorithm in Azure platform. Responsibilities also included client handling, billing and scouting new opportunities within NLP based text extraction for Market reform contracts, Insurance related documents and claim/ invoice summaries.

Building Excel based models using regression, multivariate regression and simulations including monte Carlo simulation technique to create risk-reward metrics. Time series analysis and data regression models for prediction of economic indicators and stock price movements. Return analysis of portfolios and complex financial instruments including derivatives, options, fixed income securities, Forex and commodities. Deal Business Intelligence Project: Integrating the transaction data with Excel Pivot charts to generate dynamic dashboards for investment banking league tables. Trained ~40 interns for Excel, advanced Excel and dynamic data modelling. Project involving supply chain integration and IT infrastructure optimization in a merger of supermarket chains in the US using SQL and DB2. Merged entire operations of two supply chains with ~350bn records to optimize inventory, purchase orders and warehouse management. Role involved building complex SQL queries, automating the PO generation, and conversion and mapping of historical retail sales records based on integrated Item codes.

Worked on end-to-end sell side deal valued at ~$8bn. Responsibilities: company analysis, target buyer screening, company teasers, financial modelling, Valuations, Pitch-books and industry research reports. Automation using Excel and VBA to develop investment strategies as well as industry research, market sizing and M&A target/ buyer identification in Automotive sector. Make in India Project Objective: To identify the global companies and foreign conglomerates which will benefit from setting up manufacturing facilities in India. Screening of top 2,500 companies based on parameters such as manufacturing cost of their existing operations, estimated cost structure of manufacturing operations in various SEZs in India, economic indicators, and estimated demand & scale of their operations. Identified ~45 companies which were then approached by the client for the investments.

Offshore investment banking analyst in mergers and acquisitions for a bulge bracket investment bank. Worked on a pilot project for investment banking support operations and help convert 6 FTE account for US-based investment bank. Responsibilities: secondary research, company valuation, financial modelling, company profiling, industry research, benchmarking, and target/buyer screening. Analyzed retail brand sales data from Nielsen and Euromonitor for new product placement strategies by predicting the unit sales, prices and cost structure using regression and market sizing techniques. Other responsibilities include Team handling and management, work allocation, negotiating with clients and guiding junior members in the team.