About me

I am a Data Scientist with a Master’s in Data Science from the University of Texas at Arlington and a Bachelor’s in Computer Engineering from Mumbai University, backed by 5+ years of industry experience across healthcare, finance, and cybersecurity. I specialize in transforming raw data into actionable insights through expertise in data analytics, machine learning, MLOps, and cloud-based AI deployment. My toolbox includes Python, SQL, AWS, Azure, and growing command over Generative AI and Retrieval-Augmented Generation (RAG) systems.

I thrive at the intersection of technical execution and business value—whether developing scalable LLM applications, building end-to-end pipelines, or collaborating across teams. Passionate about innovation, I stay ahead in this fast-moving field by continuously learning and applying new AI advancements. I'm currently open to Data Scientist or Data Analyst roles in industry or academia. If you're a recruiter, collaborator, or research advisor, feel free to connect and explore my work.

What I'm Good At

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    Data Analytics & Visualization

    Turning raw data into actionable decisions using Python, SQL, and Tableau.

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    Machine Learning and MLOps

    Experienced in building ML models and LLM-based applications with LLMs and RAG.

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    Data Engineering

    Hands-on with building robust data pipelines using Airflow, DBT, Snowflake and AWS.

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    Research and Innovation

    Passionately pushing boundaries through applied research in AI and Data Science.

Experience

Education

  1. University of Texas at Arlington

    2022 — 2023

    Graduated with a Master’s in Data Science, specializing in data analytics and machine learning.

  2. University of Mumbai

    2017 — 2021

    Graduated with a Bachelor’s in Computer Engineering, focusing on software development and data structures.

Experience

  1. Data Engineer – Denodo - Contract

    Oct 2024 – May 2025 · Chicago, IL

    Built scalable ETL pipelines using AWS (S3, Glue) to process enterprise data. Developed a production-ready Text-to-SQL pipeline with real-time personalization, improving query execution efficiency by 35% and cutting compute costs by 20%. Led Tableau-based migration analysis (SQL → AWS), and helped optimize 100+ data source workflows, saving over $500K annually.

  2. Data Scientist Intern – Bank of America

    Sep 2023 – May 2024 · Remote

    Led development of an LLM-powered AI text detector (86% accuracy) to distinguish human vs. AI-generated content. Built a custom dataset and applied advanced preprocessing, improving training efficiency by 25%. Integrated sentiment analysis and statistical modeling to enhance content classification interpretability by 35%.

  3. Data Scientist – UTARI

    Sep 2022 – Aug 2023 · Fort Worth, TX

    Developed a Keras-integrated Android smartwatch app for health tracking. Automated real-time data sync with Azure and GCP dashboards, reducing manual effort by 43%. Built predictive models with Python & R for anomaly detection and improved health monitoring efficiency by 35%.

  4. Data Scientist – Deloitte

    Aug 2019 – Nov 2021 · Mumbai, India

    Delivered AI solutions in healthcare and finance domains for a Denmark-based client. Built ML models for fraud detection (25% reduction in fraud), implemented Blockchain for healthcare analytics (20% operational cost reduction), and migrated infrastructure to cloud, improving uptime to 99.9% while reducing costs by 40%.

My skills

  • Python
    98%
  • Machine Learning
    90%
  • Data Analytics & Visualization
    95%
  • SQL
    80%

Blogs

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