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About

Results-driven Data Analyst with hands-on experience in building data pipelines, performing in-depth analysis, and creating actionable dashboards. Proficient in Python, SQL, Advanced Excel, and Power BI, transforming large datasets into valuable business insights. Eager to leverage analytical skills to solve complex problems.

Experience3

  1. Data Analyst with GenAI Intern

    Aug 2026 — Present

    IBM

    Developed a comprehensive healthcare analytics project on 5,000 patient records including data cleaning, advanced MySQL querying, Python exploratory data analysis, a Power BI dashboard, and an interactive Streamlit application. Presented significant operational insights such as a total treatment cost of $274.6M and department-level cost and risk trends.

  2. Data Analyst

    Jul 2026 — Jul 2026

    Tata

    Completed a data visualization simulation for Tata Consultancy Services involving data visualizations that supported executives in expansion strategy. Prepared insightful questions for meetings with CEO and CMO.

  3. Freelance Data Annotator

    Nov 2025 — Jan 2026

    Scaler

    Completed over 500 data annotation and validation tasks with over 95% accuracy across multiple platforms including browser, terminal, and MS Office Suite, consistently meeting quality and turnaround requirements.

Projects5

  • HealthIQ - Healthcare Patient Analytics & Operations Intelligence

    Built an end-to-end healthcare analytics project on 5,000 patient records including data cleaning, extensive MySQL querying with 20+ queries using CTEs and window functions, exploratory data analysis in Python, a 3-page Power BI dashboard, and an interactive Streamlit app to present key operational insights such as $274.6M total treatment cost and department-level cost and risk trends.

    • Python
    • SQL
    • Power BI
    • Streamlit
    • IBM Bob

  • Enterprise Data Warehouse Using Bronze–Silver–Gold Layering

    Built an end-to-end SQL data warehouse using Bronze–Silver–Gold architecture transforming raw data into 100% structured, analysis-ready datasets. Developed optimized SQL models and star schema (fact & dimension tables), improving query performance and enabling faster insights by approximately 40–50%.

    • SQL

  • Vendor Sales Analysis

    Built a scalable data pipeline using Pandas to process over 1 million sales records, optimized SQL queries and created a Power BI dashboard extracting KPIs. Delivered insights identifying top vendors driving 60% of sales and highlighted underperformers for strategic decisions.

    • Pandas
    • SQL
    • Power BI

  • Target Store Data Analysis

    Conducted comprehensive exploratory data analysis on 90,000+ orders using Python and MySQL to identify key customer trends and product sales patterns, using Matplotlib and Seaborn for effective data storytelling to non-technical stakeholders.

    • Python
    • MySQL
    • Matplotlib
    • Seaborn

  • Wellness E-Commerce Sales Analysis & Dashboard

    Analyzed 1,500+ transactions to identify top-performing categories, quarterly average order value, and peak purchase days with Excel formulas, pivot tables, and dashboards. Delivered 3 campaign recommendations and organized deliverables across multiple labeled tabs mirroring a real analyst handoff workflow.

    • Excel

Education2

  • B.Tech

    2021 — 2025

    GGSIPU, Delhi, India

    Information Technology

  • 12th

    2019 — 2020

    Bal Bharati Public School, Delhi, India