Experience

 
 
 
 
 
Feb. 2019 – June. 2021
Minneapolis, MN

Regulatory Data Specialist Team Lead, Servicing 3M

Pace Analytical


  • Reviewed global chemical regulations, determined their application for various products and effectively communicated with 3M suppliers.
  • Responsible for delegating workload to team of regulatory data specialists, including the mass workload for SAP implementation
  • Automated a better workflow process using Python for efficiency and better time management.

 
 
 
 
 
Feb. 2019 – Dec. 2019
Minneapolis, MN

Data Science Mentee

SharpestMinds


  • Predicted employee absenteeism in hours for a courier company using Random Forest and Logistic Regression as classification models in Python
  • Created a web app using Heroku and Flask to predict the click-through rate on an advertisement

 
 
 
 
 
January. 2018
Minneapolis, Minnesota

Data Science Consultant Intern

WindLogics


  • Worked with a team of five on an optimization problem where the goal was to develop a better load forecasting algorithm.
  • Applied different load forecasting algorithms such as Random Forest and ARIMA in R-studio to predict seasonality in Battery Control
  • Developed a 20% improved ensemble model by combining five algorithms for optimized results and better accuracy.

Projects

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Predicting Absenteeism time

Identifying primary causes of absenteeism in order to reduce worker absenteeism using Random Forest and Logistic Regression

SpellCheck Corrector

NLP algorithm able to correct corrupted files using LevenShtein distance

Predicting Customer Clicks

Exploration of an end to end predictive model and deploying it on web app.