Harsh Chandak

As a Data Analyst Intern, I conducted data validation and cleanup, optimized SQL queries, and identified trends in complex datasets. My efforts enhanced data accuracy by 35% and contributed to actionable insights that improved team productivity.

As a Data Analyst Intern, I conducted data validation and cleanup to ensure dataset accuracy. I optimized SQL queries for improved processing times and identified trends in complex datasets, leading to actionable insights that enhanced data accuracy by 35%.

During my internship, I developed predictive models for movie ratings using Python, achieving a 15% accuracy increase. I performed in-depth data analysis and visualized insights with Pandas and Matplotlib, enhancing data-driven decision-making.

Conducted comprehensive data analysis on Zomato's dataset to identify restaurant trends and user preferences. Created interactive dashboards in Power BI and provided actionable business recommendations based on statistical insights.

Developed a predictive model to analyze sales trends and optimize business strategies. Automated ETL processes using Power BI and SQL, significantly reducing manual data handling by 50%.

During my internship, I developed predictive models for movie ratings using Python, performed in-depth data analysis, and utilized data visualization techniques to present insights. My work led to a 15% increase in accuracy for sales forecasting.

In this project, I analyzed Zomato's dataset to identify restaurant trends and user preferences. I created interactive dashboards in Power BI and provided actionable business recommendations based on my statistical analysis.

I developed a predictive model to analyze sales trends for a retail chain and automated ETL processes using Power BI and SQL. This reduced manual data handling by 50% and optimized business strategies.