Vaishali Pawar

Hello, I am Vaishali Pawar and I am pursuing MS in Business Analytics at the University of Cincinnati.
Having a strong mathematical background, I like solving real world problems and working on different technologies. I have a work experience of 3 years in the Data Science domain and currently I am seeking opportunities in the field of Analytics and Data Science to work with analytical firms helping them with data driven solutions to solve business problems.

Academic Background

• MS in Business Analytics, Carl H. Lindner College of Business, University of Cincinnati - 2022
• B.Tech in Electronics and Telecommunication, VIT, Pune, India - 2018

Work Experience

• Graduate Assistant, University of Cincinnati, Carl H. Lindner Collegeof Business Aug 2021 – Dec 2021
  Major US-based Steel Manufacturing Company| Data Science andAnalytics Team Cincinnati, Ohio - Improved machine learning model results by accurately predicting processing time for manufacturing steel orders. Implemented error analysis using Shapley and Lime to determine key features affecting prediction and built NN model

• Decision Scientist, Mu Sigma Business Solutions Pvt. Ltd Aug 2018 – Aug 2021

  • Major US-based Energy Services Company| Trading Team Bangalore, India
    Led a team of 5 Data Scientists; Facilitated U.S based Energy Services company to estimate power dispatch by accurately forecasting wind turbine power generation in wind farm for 48 hours in future Implemented Mixed Effect Modelling, Hierarchical time series. Increased accuracy of forecasts by 8% as compared to heuristic forecasting
  • Major US-based Energy Services Company| Trading Team
    Engaged with Energy Corporation assisting with important commercial decisions - to optimize daily bidding for 7 days ahead spot market by estimating competitor behavior and market scenarios. Built predictive model using stacked ensemble: NeuralNetworks using predictionsfrom varioustime series models. The ensemble approach decreased MAPE by 5%
  • Major UK-based Retail Chain | Data Science Team | Finance Team
    Identified business requirements and transformed Product budgeting and sales forecasting process from business heuristics driven manual process to data- driven process with automated weekly revisions

Experience in R

I was exposed to R in my very first project with Mu Sigma, and I have a hands on experience with R for almost 3 years now. I use R for implementating statistical tests, because it is much easier to find the relevant statistical test packages, data wrangling as its easier to visualize the data in R and implementating some of the machine learning models

Experience with Other Analytical Software

I am well versed with the below mwntioned analytical softwares apart from R -
1. Excel Solver
2. Python
3. Tableau
4. Power BI