Shreyas Mahimkar Research Profile

Boston, Massachusetts, United States

Data Scientist

About

Shreyas Mahimkar is a skilled Data Scientist at LiveRamp, with extensive experience in the consumer electronics industry. He excels in Python, Java, Apache Spark, and database management, holding a Master's Degree in Computer Science from Northeastern University. Shreyas has previously worked at Data Plus Math and TiVo, where he developed data pipelines, predictive models, and clustering methods to enhance TV viewership insights. His projects include predicting crime locations using big data and developing a web crawler. He has also interned at Novartis, contributing to big data analysis with Spark. Shreyas's background combines strong technical skills with practical experience in data science.

Skills

Experience

LiveRamp

Jul-2019 to Present

Education

Northeastern University

M.SC in Computer Science

Passout Year: 2016

Projects

Nov-2014 to Present

How Mobility Informs Epidemic Dynamics Districts Sierra Leone

Question: How does mobility inform epidemic dynamics on the district level in Sierra Leone Data Used/Wrangled/Processed: Sierra Leone Roads; Sub-national infection dataset, Sierra Leone; general demography Sierra Leone (CIA World Factbook); NEJM article for certain parameters Analysis Approach: SEIR Model with Metapopulation Model Approach (Multi-compartments / SEIR for each district and flows between); Preliminary Training & Testing; Graphs/Visuals; GIS; Findings/Limitations: Estimated ~Mobility Weights between Districts; Tested November Predictions Compared to November Observations Cumulative Case Numbers with preliminary measurement of error (need to extend to p-values? need to measure cross-validation by district &/or time); Predicted December Possible Applications: 1) Predict Epidemic Dynamics In Future Over Time & Space (By District); 2) Use Trained, Validated, Tested Model + all current data mobility + case data to predict optimal locations/expansions of mobility checkpoints/restrictions (locations to test/treat/isolate/restrict-movement/etc.) in order to stem epidemic

Certificates

Issued : Apr 2018

By : Coursera
Event : DeepLearning.AI

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Honours & Awards

ROBO SOCCER EVENT in GENESIS 08

Awarded by:

Watumull

Year: 2008

Scholar9 Profile ID

S9-082024-1505863

Publication

(0)

Article Reviewed

(31)

Citations

(0)

Network

(0)

Conferences/Seminar

(0)

Mr. Shreyas Mahimkar