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About me



  • 2024 - Present
    University at Buffalo, Buffalo, New York

    Research Assistant

    • Leveraged an HPC cluster for efficient execution and training of GloVe, CBOW, and Skip-Gram models on Management
    Discussion and Analysis (MD&A) sections extracted from 10-K filings retrieved from SEC Edgar database. Approach facilitated
    automated data transformation and enhanced identification of potential fraud through advanced text embedding
    techniques. Applied BERT model, training it on financial corpus to generate sentiment of MD&A disclosures.

  • 2021 - 2022
    Star Link Spatial Communications LLC, Abu Dhabi, UAE

    Associate Data Scientist

    Client – Yahsat, Abu Dhabi, UAE | Abu Dhabi National Oil Company, Abu Dhabi, UAE
    • Spearheaded development of machine learning models to predict network disruptions and boost VSAT system performance,
    resulting in an impressive 25% decrease in unplanned downtime and production interruptions.
    • Designed and executed end-to-end data science pipelines, seamlessly handling data preprocessing, model training, and
    evaluation, and deployed a CI/CD pipeline with Flask and Docker, accelerating project timelines by 20%.
    • Empowered stakeholders with data-derived insights from predictive models, resulting in a 30% improvement in maintenance
    planning accuracy, optimizing resource allocation, and generating cost savings of $350,000 annually.
    • Created and optimized Tableau dashboards, ensuring efficient server resource utilization and faster load times.

  • 2019 - 2020
    Al Mulla Group, Al Ahmadi, Kuwait

    Technical Analyst

    Client – Kuwait Oil Company, Kuwait
    • Evaluated attendance, costs, and billable attributes leveraging Python and SQL, ensuring project compliance, accurate billing,
    and profitability.
    • Collaborated on data integration efforts, defined KPIs, and performed variance analysis. Managed change orders efficiently
    and maintained transparent client communication. Achieved a 94% accuracy rate in billing.
    • Engaged in regular client communication, providing insights into project performance. Leveraged historical data trends to
    forecast future project performance, costs, and potential risks, resulting in an 18% reduction in cost overruns and better risk

  • 2018 - 2019
    Allegis Group (EASi), Chennai, India

    Graduate Engineer Trainee

    Client – Renault Nissan Technology and Business Center India Pvt Ltd, Chennai, India
    • Analyzed vehicles material data structure using Python for precise substance detection, achieving a 98% accuracy rate.
    • Implemented strategies with Nissan suppliers, resulting in a 20% reduction in hazardous substances.
    • Identified data issues, created reports, and utilized Excel and Tableau for data visualization.