About me

Welcome to my Data Science Project Portfolio!

As a data enthusiast with a background in biotechnology and a Master's in Data Science, my journey in the data field has been nothing short of exhilarating. I've had the privilege of applying data-driven methodologies to a myriad of contexts, spanning biotechnology, supply chain optimization, spend analytics, construction management, and investment strategies.

My diverse experiences have not only broadened my horizons but also honed my skills in extracting actionable insights from data. Join me on this expedition through a spectrum of data-driven projects, where we explore the dynamic interplay of data and its profound impact on diverse industries.

Together, we'll delve into the art of turning complex data into valuable knowledge, just as I've done in my journey. Let's embark on this data-driven adventure and discover the limitless possibilities that data science has to offer!

Resume

Education

  1. University of Texas, Dallas

    2022 — 2024

    Master of Science, Business Analytics, Data Science Cohort
    Deans Excellence New Student Cohort Scholarship, Microsoft Student Ambassador
    GPA 3.8/4

  2. National Institute of Technology, Warangal

    2018 — 2022

    Bachelor of Technology, Biotechnology
    Relevant Courses: Problem Solving and Computer Programming, Biocomputing, Bioinformatics
    GPA 8.2/10

Experience

  1. CBRE - Data Science and Analytics Intern

    June 2023 — Present

    • Developed a budget prediction model using XGBoost regressor, Random Forest regressor, and Neural networks for Asset data, achieving a commendable 89% R-square value.
    • Designed and implemented a user-friendly dashboard and UI to enhance data visualization.
    • Utilized Regrid and Local Logic database APIs to efficiently retrieve and analyze site data and demographic information, supporting data-driven decision-making.

  2. Fractal AI - Data Science Intern

    May 2021 — Aug 2021

    • Conducted extensive market research on Spend Analytics and Accounts Payables solutions.
    • Extracted data from Snowflake schema and presented the analysis on an extensive PowerBI dashboard.
    • Generated insights on tail and maverick spending that can cut annual expenditures by 5-10% on average.

Organizations and Achievements

  1. CBRE Hackathon Winner - HackUTD, WEHack.

    Nov 2022

  2. Business Analytics Leardership Council

    Sept 2022 — May 2023

    Facilitating a mentorship program involving 1000+ students and other events to help students on campus.

  3. Women's Chess Team Captain - NITW

    Jun 2020 — Aug 2022

    • Individual bronze medalist and 4th place in the InterNIT Team Championship.
    • Successfully managed tournament sponsorships and coordinated logistical operations for events.

Contact

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