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About

Data Analyst with 4+ years of experience in SQL, Python, PowerBI, data visualization, reporting automation, and business analytics. Expertise in data validation, KPI reporting, dashboard development, statistical analysis, workflow analytics, and large-scale data processing. Proficient in SQL window functions, CTEs, query optimization, Pandas, NumPy, and Power BI. Proven track record of reducing manual effort by 91%, improving reporting accuracy by 30%, and delivering data-driven insights that support strategic business decisions.

Experience2

  1. Data Analyst

    Jul 2024 — Present

    ISS - STOXX

    Analyzed and validated over 10,000 sustainability, governance, and index datasets using SQL, Python, and statistical techniques, improving data accuracy. Automated workflows with Python and SQL, reducing manual effort by 70% and accelerating reporting cycles. Developed Power BI dashboards leveraging SQL window functions, improving reporting accuracy by 30%. Migrated legacy R validation frameworks to Python, cutting execution time from 22 hours to under 2 hours. Built multithreaded data pipelines handling millions of records, strengthening governance and reporting consistency.

  2. Software Engineer

    Dec 2021 — Mar 2024

    Cognizant Technology Solutions

    Developed Python automation and SQL validation frameworks, reducing manual effort by 80%. Optimized complex SQL queries improving reporting performance by 40%. Automated data validation and reconciliation workflows saving over 15 hours monthly. Collaborated with stakeholders to deliver KPI dashboards and executive reporting supporting data governance initiatives.

Projects2

  • Conversational Business Intelligence Solution

    Developed a self-service analytics platform enabling users to query and analyze 10,000+ records using natural language, reducing reliance on manual SQL queries and report generation. Built a Retrieval-Augmented Generation (RAG) pipeline integrating Python, SQL, Streamlit, and LLMs to automate KPI retrieval, governance reporting, trend analysis, and ad-hoc business intelligence workflows.

    • Python
    • SQL
    • RAG
    • Streamlit
    • LLMs

  • LLM-Powered Sentiment Analysis Platform

    Processed and analyzed 5,000+ text records using NLP and Large Language Models (LLMs) to automate sentiment classification and topic extraction from unstructured data. Developed an end-to-end analytics workflow for sentiment scoring, trend analysis, and insight generation, improving analysis consistency and reducing manual review effort.

    • Python
    • NLP
    • LLMs

Education3

  • M.Sc

    2024

    Liverpool John Moores University

    Data Science

  • Executive PG Programme

    2023

    IIIT Bangalore

    Data Science

  • B.Tech

    2021

    Suresh Gyan Vihar University

    Computer Science Engineering