Advait Patil

I’m a data-driven analyst with hands-on experience structuring and refining real-world datasets to uncover meaningful patterns and turn them into actionable insights. I focus on data validation, trend analysis, and producing dashboards and reports that support informed decision-making.

As a MIS/ Data Analyst Intern (on-site), I analyzed customer datasets (2000+ records) using Advanced Excel to identify behavioral trends and pricing patterns. I developed KPI dashboards and automated reporting using Excel, Tableau, and SQL, while ensuring data accuracy through cleaning and validation that improved reporting efficiency.

In my Data Science Intern role (remote, project-based), I worked on data cleaning, preprocessing, and exploratory analysis with Python (Pandas, NumPy). I visualized insights using Matplotlib/Seaborn to highlight trends and support data-driven decision-making.

I’m especially interested in financial analytics, performance evaluation, and cost optimization. Through projects like COVID-19 data analytics and a Startup Failure Prediction System, I’ve applied SQL and Python to extract, filter, and analyze data, building classification models to support risk assessment and better outcomes.