Harsh Chandak

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%.

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.

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.

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%.

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.

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.