Sai Lakshmi

Sai Lakshmi

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location of Sai LakshmiCambridge, Massachusetts, United States

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  • Timeline

  • About me

    Graduate Student at the McCombs School of Business, UT Austin

  • Education

    • Sir M Visvesvaraya Institute of Technology, BANGALORE

      2014 - 2018
      Bachelor of Engineering Electrical, Electronics and Communications Engineering
    • Texas McCombs School of Business

      2023 - 2024
      Master's degree Business Analytics 3.7
  • Experience

    • Mu Sigma Inc.

      Aug 2018 - Jan 2022

      Data Driven Decision Making to solve a business problemLearnt the art of problem solving to identify the gaps between the current and desired state and tried to bridge the gaps by performing hypothesis testing, exploratory data analysis, model building and then providing relevant insights and recommendationsFailure Point Prediction Performed an Analysis by studying data from almost 4000 sensors for different patterns to predict the probability of downtimes based on raw material quality in manufacturing using Python. The analysis helped the clients to improve the manufacturing efficiency by 18%Algorithmic Supply ChainCreated a product roadmap focusing on ML solutions to decrease penalties associated with "order delivery misses" . Performed Hypothesis testing to identify the relevant factors and then built a regression model to predict the percentage of order misses at a weekly basis along with the factors responsible for the sameSearch Engine MarketingData Curation using SQL was performed on a weekly basis to feed the top markets and marketplace KPIs like top advertisers and revenue contribution into a PowerBI Dashboard which was used by the clients to understand the performance of the markets Show less

      • Apprentice Leader

        Feb 2021 - Jan 2022
      • Decision Scientist

        Aug 2018 - Feb 2021
    • Koch Business Solutions India

      Jan 2022 - Jun 2023
      Data Scientist

      Demand ForecastingEstimated the production volume of products to provide a 12-month out forecast across 5 different mills using the ARMAX model, resulting in better inventory management and optimized production at the facilities. Product MaintenanceAnalyzed raw data (of the product) at a sensor level data across different machines to optimize and reduce machine downtimes along with maintaining product quality which results in annual savings of ~$ 25M.

  • Licenses & Certifications