Leveraging machine learning to facilitate better management of bar code scanners.Developed a forecasting solution that outperformed existing methods by 3%, resulting in:--1.2% reduction in inventory--1.8% reduction in shortages--9% reduction in transportation costs

Selected as one of 200 out of 5,000+ applicants to participate in the cohort 3 of the KaggleX BIPOC (Black, Indigenous, People of Color) program as mentee for continued growth and raising equity in machine learning and data science. Accomplishment:- Received KaggleX career development scholarship.

Providing merchants with competitive analysis and aided in strategy & marketing decision making.Partnering with merchants to optimize card member targeting, campaign measurement and market penetration.

Client: World's Largest Retailer.● Built a model, from scratch, that forecasted the demand of perishable goods.● The granularity of analysis was at product and store level.● Helped client optimize inventory management and supply chain logistics

Client: World's Largest Coffee House Chain● Performed customer segmentation for market knowledge & targeted campaigns. ● Assisted the client through the entire campaign life cycle.● Helped client decide customer segment suited for a given campaign.● Identifying the active & responsive customers from each segment.● Helped client determine the suitable mode of intimation.● Identification of control group for A/B testing.● Pre/Post analysis to determine success of the campaign.● Measured contribution of controllable factors to campaign’s success.● Storyboarding and visualization to present findings and insights.● Advising client on future steps.

Client: World's Largest Home Improvement RetailerSingle handedly automated the reporting work that involved 5 resources, by conceptualizing and creating a tableau based tool.

Client: World's Largest Home Improvement Retailer- Test and Learn Framework: From Design of Experiment to measuring the impact ofinternal/external events on sales. This includes generating a hypothesis, designing and executingthe test, measuring the performance of the test and analyzing the results- Statistical Modeling for Measuring Campaign Performance: In order to accurately measure the impact of an event on a set of test stores, a methodology comprising of various statistical tools like Cook’soutlier treatment, Euclidean distance, Time series analysis using regression to choose appropriatecontrol stores and measure the lift in the test stores- In depth Analysis of the events: To identify the driving factors of sales, analyzed sales and unitsdata, using SAS and advanced excel. Prepared tableau dashboards to report product, brandand region level drill downs.