Madhav Sharma

About Madhav Sharma

I am a Data Analyst working in an E-commerce Agency, specializing in Quick Commerce platforms like Swiggy Instamart, Zepto, and Blinkit. With hands-on experience in E-commerce and marketplace analytics, I specialize in identifying patterns, solving performance gaps, and helping teams make confident, data-driven decisions. I combine strong technical skills with data storytelling—because insights only matter when stakeholders understand and act on them. What I Do: Data Analytics + Performance Marketing to drive measurable growth. • Extract, clean, and analyze large datasets using SQL, Python, and Excel • Build interactive dashboards in Power BI and Tableau to track KPIs • Analyze ad performance metrics (ROAS, ACOS, TACOS) • Monitor SKU-level profitability and inventory performance • Perform statistical analysis & A/B testing to improve decision-making • Translate complex findings into simple, strategic recommendations Tools & Technologies: SQL | Python | Excel | Power BI | Tableau | Statistical Analysis I’ve worked on challenges ranging from building KPI dashboards to supporting predictive models that help forecast customer behavior and improve marketing performance. My goal is simple:Turn raw data into insights that increase revenue, reduce inefficiencies, and support sustainable growth. Currently open to: • Data Analyst roles • eCommerce & marketplace analytics opportunities • Freelance consulting in performance & growth analytics Let’s connect if you believe data should drive decisions — not just reports.

Experience

1. Data Analyst & Mis

   Commercify360

   May 2025 — Present · Gurugram, IN

   Created and maintained daily, weekly, and monthly performance reports for e-commerce brands, covering sales,inventory, marketing, and customer behaviour.• Designed interactive Power BI dashboards tracking KPIs such as sales trends, ad spend ROI, conversion rates, andcustomer engagement.• Automated reporting workflows using Excel and Power Query, reducing manual effort by 40%.• Conducted data cleaning, transformation, and analysis of large datasets to support business decisions.• Supported inventory planning through insights on stock trends and order fulfillment.• Collaborated with brand teams to tailor visualizations and data insights to strategic needs• Worked closely with business teams to tailor data insights and reporting formats to specific brand needs.• Extracted, transformed, and analyzed large datasets to support strategic and operational goals.

Education

• Maharaja Agrasen Himalayan Garhwal University

  Bachelor of Science, Maths

  2021 — 2024