Avinash Modi

I’m a results-driven Data Analyst focused on turning raw data into actionable insights through business intelligence and data visualization. I use Python, SQL, Power BI, and Excel to support data-driven decision-making end to end.

I work across EDA, forecasting, KPI development, and dashboard design, with a track record of improving reporting efficiency and forecast accuracy. In my internship work, I built forecasting models that improved prediction accuracy by 25% and developed Power BI dashboards that reduced manual reporting effort by 30%.

I also dig into business drivers behind performance changes. I identified a 20% revenue drop linked to seasonal demand shifts and supply chain delays, and I recommended inventory rebalancing that improved stock turnover by 18% while reducing carrying costs by 12%, validated through hypothesis testing.

My projects reflect the same practical mindset: for example, I built a churn prediction dashboard by cleaning and processing 70,000+ records and achieving 87% model accuracy. I’ve also executed SQL-heavy retail analytics on 100,000+ rows, built DAX-based dashboards for revenue and CLV, and reduced ad-hoc reporting time by 40%.