Resume

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

Summary

Sri Harsha Achyuthuni

Data scientist with 5 years experience.

Hyderabad, India
+91 9019413416
sri.harsha.uni@gmail.com

Education

Imperial College London

M.Sc. Business Analytics

2020 - 2022, London, UK

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
An active member of the Data Science Club. Student content creator

Indian Institute of Management, Bangalore

EEP Business Analytics

2019 - 2020, Bangalore, India

Business Analytics and Intelligence part-time on-campus executive education program.
Project: Optimisation of R&R contests for a life insurance company using predictive and prescriptive analytics

Amrita Vishwa Vidyapeetham

B.Tech Mechanical Engineering

2014 - 2017, Bangalore, India

Graduated with distinction and CGPA of 8.91 /10

Professional Experience

Deloitte

Data Science Senior Consultant

Jan 2021 - Current, Bangalore, India

Built a state-of-the-art streaming machine learning model for Rolls-Royce data Labs (Open Source version: Scarecrow)
Designed parts of a predictive aircraft health management systems using machine learning at Rolls-Royce with an impact of saving 1200 man-hours
Developed an optimization engine that allocates suppliers which had an impact of 4 million dollars in a year

Tesco

Senior Business Analyst

Apr 2020 - Jan 2021, Bangalore, India

Led the team to identify potential problems that can be solved using data science and delivered three of them to different stakeholders
Analysed 10+ ad-hoc requests to provide actionable insights and automated 5+ reports to facilitate better store efficiency
Collaborated with business teams, display managers, and store managers to take various data-driven decisions

Mu-Sigma

Decision Scientist

Oct 2017 - Apr 2020, Bangalore, India

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.

Resume

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