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About

Data Analyst with 2+ years of experience in SQL, Power BI, Python, Excel, and Power Query, with hands-on experience in data extraction, data cleaning, data validation, data analysis, data modeling, dashboard development, KPI reporting, and business reporting. Experienced in analyzing 700K+ consumer records, developing FMCG dashboards, monitoring business KPIs, identifying trends and anomalies, and delivering data-driven insights to stakeholders. Strong background in translating business requirements into analytical solutions and improving reporting efficiency, data accuracy, and decision-making.

Experience2

  1. Data & Operations Analyst

    Jan 2024 — Present

    NielsenIQ (NIQ)

    Developed Power BI dashboards tracking FMCG KPIs, product performance, improving client decision-making speed by 30%. Queried, extracted, cleaned and validated 700K+ consumer records using SQL and Excel, reducing data errors by 20%. Performed data analysis and visualization, delivering data-driven recommendations to support strategic decision-making and improve business performance.

  2. Data Analyst

    Jan 2023 — Sep 2023

    CETPA Infotech

    Extracted, cleaned, and pre-processed datasets using Excel and Python. Used Pandas, Matplotlib, and Seaborn for data analysis and visualization. Analyzed data trends to generate actionable business insights. Assisted in dashboard development and business reporting. Collaborated with senior analysts in communicating findings to stakeholders.

Projects2

  • Sales ROI Dashboard – FMCG Client

    Developed a Power BI dashboard analyzing regional campaign ROI, FMCG sales performance, campaign segmentation, and business KPIs. Used SQL joins and CTEs to combine and analyze datasets for dashboard reporting. Created data visualizations improving visibility into regional campaign performance.

    • Power BI
    • SQL

  • Vendor KPI Dashboard – Procurement Analytics

    Designed a Power BI KPI dashboard monitoring vendor performance, revenue contribution, fulfillment delays, and procurement metrics. Analyzed vendor-level data identifying top and underperforming vendors.

    • Power BI
    • SQL

Education2

  • MBA

    2020 — 2022

    AKTU University, Lucknow

    Information Technology & Marketing

  • Bachelor of Computer Applications

    2016 — 2019

    University of Rajasthan