Lavanya Wakade

I’m a Data Analyst with a Master’s in Big Data Analytics, focused on converting messy datasets into clear business insights. I bring practical experience using Python, SQL, and Power BI, with a strong emphasis on data cleaning, statistical analysis, and dashboard-ready outputs.

As a Data Analyst Intern at Intern InfoTech, I developed advanced SQL queries to manipulate and extract actionable insights from large datasets. I also created interactive Power BI reports and collaborated with stakeholders to present key findings through dynamic dashboards.

In my other Data Analyst internship at Mentorness, I used Python, SQL, and machine learning techniques to extract insights and optimize decision-making. I worked with cross-functional teams to deliver data-driven solutions and developed predictive models aligned to business objectives.

My projects reinforce how I work: I scraped and classified 1,296+ mutual fund schemes, built and tuned Random Forest classifiers across multiple return horizons, and standardized risk classification using CRISIL’s scale. I’ve also conducted EDA on 800+ record datasets and built portfolio & risk analytics using cleaned multi-year stock data—always aiming for reliable, decision-ready analysis.