Laxmi Chaudhary

SAP Digital Transformation | Deloitte | CMU

Pittsburgh, Pennsylvania, United States

About

Experience

  • Deloitte (United States)
    • Manager
      Apr 2023 - Present · 3 yrs 3 mos

    • Senior Consultant
      May 2021 - Apr 2023 · 2 yrs

  • Senior Data Engineer at Highmark Health
    Sep 2020 - May 2021 · 9 mos

  • Data Engineer (Volunteer) at St. Vincent de Paul Society
    Jun 2020 - Oct 2020 · 5 mos

    The Society of St. Vincent de Paul Council of Pittsburgh is a Non-Profit Catholic Lay Organization. Single-handedly built an ETL pipeline to migrate all of the data and developed a full-fledged CRM system with a reporting tool for data analysis. Post-implementation, the saved ~$11k, which will allow them to provide food, clothes, and furnish hundreds of families at any time, but more so during the COVID pandemic.

  • Graduate Teaching Assistant at Carnegie Mellon University
    Jan 2020 - May 2020 · 5 mos

    Graduate Teaching Assistant for Distributed Systems for ISM with Prof. Martin Barrett, Prof. Joseph Mertz, and Prof. Michael McCarthy to grade assignments/exams and help approximately 150 students with the coursework. labs and proctor exams. In addition, conducted office hours bi-weekly to mentor & help students one on one.

  • Data Scientist | Project Manager | Student Consultant at Sears
    Jan 2020 - May 2020 · 5 mos

    Managed a team of 5 members while being the SPOC for the client and the faculty to devise a model for inventory optimization. Solution architect of the problem. A deep learning model that forecasts the SKUs to put in a store to maximize the overall expected profits based on the previous sales history and the demographic makeup of customers. The results of this model will be fed into a reinforcement learning model (in an OPEN AI GYM environment) to fetch the optimal combination of SKUs for which the order needs to be placed to the vendor, considering budget constraints, liquidity optimization and meeting the maximum forecasted demand. Outcomes: 1. The project helped the client to increase their yearly cash liquidity by ~10%. 2. Weekly sales of 150,000 products were predicted 15% better than traditional figures thereby improved customer satisfaction.