Abhijit Sahoo

I’m a results-driven, detail-oriented Aspiring Data Analyst with hands-on experience across the full analytics pipeline—from data extraction and cleaning to dashboard development and storytelling. I focus on transforming raw, complex datasets into actionable insights that support evidence-based decision-making.

I’m proficient in Python and SQL, with a strong foundation in statistical analysis and data visualization. I build reporting solutions with Power BI, MS Excel, and Google Sheets, using tools like Pandas, NumPy, Matplotlib, and Seaborn to turn analysis into clear outcomes.

In the Quantium Data Analytics Virtual Job Simulation, I analyzed transaction and customer data using Python to identify purchasing behaviour trends and deliver insights that informed a 15% improvement in category strategy recommendations. I also conducted A/B testing on trial store layouts and created statistically supported reports by benchmarking performance metrics against control stores.

In my projects, I designed an interactive Power BI dashboard for KPI tracking and used complex SQL (CTEs and window functions) to reduce data preparation time by ~40%. I’m now actively seeking full-time or freelance roles in data analytics, business intelligence, and reporting, and I bring a practical, structured approach to data pipelines, EDA, and dashboard design.