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About

Data & Business Analyst with 2+ years of experience across data analytics, business strategy, and solar technology. Skilled in SQL, Python, Power BI, data analysis, and business intelligence, with a track record of turning data and market insights into measurable business outcomes. Led a business vertical from 0→1 to revenue, built demand–supply networks, and used user/market analysis to improve business performance. Strong at solving ambiguous problems, identifying opportunities, and driving execution from insight → strategy → measurable results.

Experience2

  1. Data Analyst

    Jan 2024 — Nov 2024

    Acmatix Solutions Pvt Ltd

    Designed and optimized complex SQL queries with joins and extract functions, improving performance for over 1 million records and ensuring data governance. Enhanced an interactive Power BI dashboard to improve data accessibility for stakeholders. Performed predictive analytics and exploratory data analysis with pandas-profiling to optimize operations aligning business growth goals.

  2. Strategy & Growth Associate

    Jan 2025 — Present

    Sharda Solar

    Led a new business vertical from market validation to commercial execution, addressing demand- and supply-side gaps in the solar EPC ecosystem and generating revenue. Built a structured demand-supply network for solar installation with EPCs and partners, improving reliability and reducing execution uncertainties. Owned the solar proposal and 3D design experience for EPC sales, defining UX and key KPIs to accelerate sales closure. Conducted market validation through engagement with 500+ stakeholders, managing an 18,000+ database to support partner discovery, onboarding, and business development.

Projects2

  • Home Price Predictor

    Developed a real estate valuation tool for MSMEs with predictive analytics, regression models, and an interactive dark-themed UI featuring data visualization for price estimation and market analysis.

    • Flask
    • Pandas
    • Matplotlib
    • Seaborn

  • Retail Cart Data Analysis

    Analyzed user engagement (DAU, WAU, MAU), churn (90+ days inactivity), RFM-based customer segmentation, and time-based sales trends to optimize retention, acquisition, and revenue growth.

    • Python

Education2

  • Bachelor of Technology (B. Tech)

    2020 — 2024

    Niit University

    Data Science

  • Science

    2018 — 2020

    Pragati Public School