Resume

Data Scientist | Deloitte | Imperial College London |IIMB | www.harshaash.com

Summary

Data scientist with 10 years experience.

M.Sc. Business Analytics

M.Sc. in Business Analytics from Imperial College London Business School. Part-time, 2020-22 cohort
Core modules: Data Structures and Algorithms, Machine Learning, Network Analytics, Statistics and Econometrics
Graduated with distinction, An active member of the Data Science Club. Student content creator

EEP Business Analytics

B.Tech Mechanical Engineering

Data Science Senior Consultant

Deployed a tool that leverages warning letters given to competitor's plants by US FDA. Used Google News API, web scrapping and Generative AI (PALM 2) to find, read and extract relevant information from news articles
Built a tool that reads documents from sam.gov website and extracts relevant information for US government contracts
Built a “Human with AI” machine learning tool that assists subject matter experts (SME) in identifying various performance and failure issues in aircraft engines saving 1200 man-hours
Conceptualized and developed physics-led machine learning models to predict failure for certain parts of an aircraft engine. Led a team to deploy these in more than 1000 aircraft engines
Created a solution for a pharmacutical manufacturer that leverages news articles on warning letters given to competitor's plants by US FDA using Generative AI
Extracted data on US government contracts from sam.gov using Generative AI for a pharmacutical manufacturer and mapped with existing products for identifying future sales opportunities
Developed an optimization engine that allocates suppliers which had an impact of £180m in a single sourcing conference in 2020
Built and demonstrated the Data CoE (centre of excellence) using Azure cloud services for an agricultural exporter

Senior Business Analyst

Led the team to identify potential problems that can be solved using data science and delivered three of them to different stakeholders
Collaborated with business teams, display managers, and store managers to take various data-driven decisions

Decision Scientist

Built and deployed end-to-end classification, regression, and optimization models for Walmart International supply chain with a cost-saving of 12 million dollars per month
Reduced out-of-stock scenarios in stores by identifying and quantifying different factors, risk analytics, forecasting, and optimizing supply chains in collaboration with technology and business partners from the USA, Mexico, and Argentina
Trained and mentored three batches of young analysts (5 in one batch) on demand forecasting and customer churn prediction to successfully onboard them.