Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

SHWETA BARANWAL

Bangalore,Karnataka

Overview

4
4
years of professional experience

Work History

Lead Data Scientist

Target Corporation India
05.2019 - Current
  • Customer Attrition Model.
  • Predicting the probability that the customer will churn/not buy in future weeks.
  • Implemented Statistical (Pareto/NBD) and Random Forest methods to predict the probability.
  • Achieved the accuracy of 78% in estimating customer attrition.
  • The work proved useful to the marketing team for sending offers to the relevant customers Customer Trip-Count Model.
  • Predicting the number of trips, the customer is expected to make in future weeks.
  • Implemented Ordinal classification through neural network and decision trees for prediction.
  • Achieved the accuracy of 69% in estimating the count of future trips of customers.
  • Marketing team used the predictions for articulating the offers sent to the customers.

Senior Data Scientist

Target Corporation India
06.2016 - 05.2019
  • New item forecasting.
  • Worked on improvement of new item forecasting engine of Target.
  • Helped the team with research on the possible improvements of algorithm e.g.
  • Inclusion of promotion, brand.
  • Experimented with additive filters that can be applied during similar items search for the new item.
  • Potential Sales.
  • Lost sales estimation for Back-to-School and Back-to-College programs of Target.
  • Implemented Xgboost for scoring lost sales for out-of-stock time period.
  • Developed oozie workflow for end to end execution of code.
  • Project helped the planners to plan better for the next year avoiding lost sales due to stockouts Size Optimization.
  • Estimating optimal size proportions to keep in Target stores for men’s apparel division.
  • Grouped similar styles and stores having same size pattern purchase using clustering approach.
  • Automated the whole size profile building process and generated profile at store and product level.
  • Project was aimed to help the distributers assign the optimized size packs of items to the stores.

Education

Master of Science - Applied Statistics and Informatics

Indian Institute of Technology Bombay

Bachelor of Science - Statistics

Banaras Hindu University Varanasi

Skills

Machine Learning: Classification, Regression, Decision Trees, Clustering, Unsupervised Learningundefined

Accomplishments

  • Published articles on Medium: 1.
  • Understanding BERT: https://medium.com/@shwetabaranwal20/understanding-bert-b69ce7ad03c1 2.
  • Understanding GANs: https://medium.com/towards-artificial-intelligence/understanding-gans- 4f5388548d1d 3.
  • Understanding XLNet: https://medium.com/swlh/understanding-xlnet-33c34167b0e7 4.
  • Attention Models: https://medium.com/@shwetabaranwal20/attention-model-transformers- cbfa754c0475 5.
  • BERT for Question Answering: https://medium.com/@shwetabaranwal20/bert-for-questionanswering- bfff793a4cd8.

Timeline

Lead Data Scientist

Target Corporation India
05.2019 - Current

Senior Data Scientist

Target Corporation India
06.2016 - 05.2019

Bachelor of Science - Statistics

Banaras Hindu University Varanasi

Master of Science - Applied Statistics and Informatics

Indian Institute of Technology Bombay

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SHWETA BARANWAL