Experience

Macy's

• Retail Apparel and Fashion
• 700 & Above Employee

• Principal Data Scientist

  • Oct 2021 - Present

  Demand Forecasting of retail sales at sku store level, Price Markdown Optimization using ML approach, Identifying missing sales opportunities, Bayesian Modeling, Design A/B experiments Demand Forecasting of retail sales at sku store level, Price Markdown Optimization using ML approach, Identifying missing sales opportunities, Bayesian Modeling, Design A/B experiments



Ameren

• United States
• Utilities
• 700 & Above Employee

• Senior Data Scientist

  • Jan 2020 - Oct 2021

  Built a speech-to-text analytics product in cloud for customer analytics team to generate business intelligence from customers calls using Natural Language Processing (NLP) and deep learning techniques. Defined KPI and business metrics to reduce O&M cost Deployed end-to-end machine learning pipeline in cloud using AWS Sagemaker and Docker containers for full orchestration from data ingestion, preprocessing to model inference Human Resources team had a challenge in timely resource planning due lack of reliable employee retirement projection. Problem is more aggravated in utility industry where timely knowledge transfer of critical infrastructure employee is very essential. Developed an ensemble based 5-year retirement prediction model which is 2 times efficient than the baseline average age-based model Marketing team had a classic problem of mass communication with low hit rate. Merged customer information with external data and built an unsupervised customer segmentation model for offering targeted communications and personalized recommendations. Customer satisfaction team was blindfolded due to very low survey response rate of less than 1%. Implemented a fully orchestrated sentiment analysis system in AWS cloud that identifies customers sentiment in every customer interaction. Show less



Binaize

• United States
• Software Development

• Data Scientist

  • Aug 2019 - Dec 2019

  Built an automated system to detect fault in assembly line in realtime for an automotive industry leading to 5% reduction in cost and significant time saving Built an automated system to detect fault in assembly line in realtime for an automotive industry leading to 5% reduction in cost and significant time saving



CNC Foundations

• United States
• Construction
• 1 - 100 Employee

• Senior Engineer

  • Jun 2015 - Jul 2019

  Worked on analytical/empirical model based on geotechnical engineering principles to design ground improvement elements (stone columns) for civil engineering infrastructures Analyzed earth exploration data to identify ground/soil profile for sub-surface modeling Statistical analysis of load test results to validate theoretical design model Worked on analytical/empirical model based on geotechnical engineering principles to design ground improvement elements (stone columns) for civil engineering infrastructures Analyzed earth exploration data to identify ground/soil profile for sub-surface modeling Statistical analysis of load test results to validate theoretical design model



Southern Illinois University, Carbondale

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Jan 2010 - May 2015

  Implemented finite element analysis (FEA) techniques to simulate large scale civil engineering problems and validate its non-linear results Contributed state of the art analytical tools that can be used by practicing civil engineers to avoid comprehensive calculations in the field Published 5 first author journal/conference papers and 1 second author conference paper Implemented finite element analysis (FEA) techniques to simulate large scale civil engineering problems and validate its non-linear results Contributed state of the art analytical tools that can be used by practicing civil engineers to avoid comprehensive calculations in the field Published 5 first author journal/conference papers and 1 second author conference paper