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 LearningDeep Learning: Neural Networks, CNN, Sequence ModellingNatural Language Programming: Transformer, BERTTechnical Skills:PythonPySparkHive/SQLOoziePyTorchKerasApproachClusteringEstimatingForecastingMarketingNaturalNetworksNetworkNeuralNextOptimizationPredictProgrammingPromotionPythonResearchSalesSQLWorkflow
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