abhishek maurya

I’m a Data Analyst with hands-on experience in Python, SQL, Power BI, Excel, and data visualization. I turn raw data into actionable business insights through data cleaning, exploratory data analysis (EDA), KPI reporting, and dashboard development.

In my Data Analytics internship at Faber-Castell (Remote, Jun 2025 – Jul 2025), I analyzed 5,000+ digital campaign records using Python and Excel, tracking CTR, engagement rate, and conversion KPIs to uncover performance trends. I designed and deployed summary dashboards that translated consumer behavior data into marketing budget allocation recommendations. I also handled end-to-end preprocessing—null treatment, deduplication, and standardization—to deliver clean, reliable datasets for stakeholder reporting.

Across my projects, I focused on delivering decision-ready insights. In E-Commerce Sales Analysis (Dec 2025), I processed a 50,000-record dataset, identified that the festive season (Oct–Nov) drives ~35% of annual revenue, and highlighted how the top 3 product categories account for 60%+ of monthly sales using charts and heatmaps.

For reporting and performance tracking, I built an interactive Sales Performance Dashboard (Feb 2025) with Power BI using data modeling, DAX measures, Power Query transformations, and dynamic slicers for 5+ KPIs. In Customer Sales Analysis (May 2024), I used SQL and MySQL (joins, CTEs, window functions) to reduce report generation time by 30% while surfacing key revenue trends and high-value customer segments.