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About me


  • 2022 - 2023
    University at Buffalo, SUNY

    M.S – Engineering Science (Data Science)

    Relevant Coursework: Machine Learning, Database management and Implementation, Statistical Data Mining

  • 2016 - 2020
    SASTRA University

    B. Tech- Computer Science

    Relevant Coursework: Algorithms, Data Structures, Database Management, JAVA programming, OOP using C++, Operating Systems, Artificial Intelligence


  • 2020 - 2021
    Ford Motor Company


    • Analyzed corporate intelligence Loan data having 10M entries to identify trends and patterns in the markets of EU, US and Built Data Visualization dashboards and reports to summarize operational
    results and financial performance.
    • Tested, validated, and reformulated models to deliver accurate prediction of outcomes of interest and worked on devising the Automation for repetitive tasks and manual works. This has significantly reduced
    executional time by more than 50%
    • Identified support issues and initiated actions for resolution by monitoring the jobs created and hassle-free execution of tasks.
    • Created or maintained database of customer accounts. Undertook training in Java, Spring boot.
    Reference: Rchand26@ford.com , Cyber Services manager ITO

  • 2020 - 2020
    Mthree Willey

    Data Analyst Intern

    • Created business intelligence tools and systems, including design of related databases, spreadsheets, and outputs to monitor the customer – stock exchange data which improved the business outcomes by 20%.
    • Utilized various business intelligence tools to identify, monitor and maintain the portfolio current and potential customers.
    • Provided technical support for existing reports, dashboards, and other tools.

  • 2018 - 2018
    Edvantage Point

    Bigdata Analyst Intern

    • Determined number of hits to the Edvantage website using ELK stack and built a reporting framework
    to understand the customer Acquisition, track various channel and campaign KPI’s
    • Examined technology trends to identify markets for future product development. This resurrected 8% of the user base.
    • Identified and analyzed industry and geographic trends with business strategy implications which improved ARR by 5%.