Harsh Kumar

As a dedicated Data Analyst, Harsh brings expertise in SQL, Python, and Pandas technologies, using them to derive valuable data insights aligned with business requirements.
With a strong proficiency in MySQL and Tableau, he excels in data-driven decision making and provides robust analytical support. His
commitment to continuous learning and adaptability is evident through his focus on using SQL and Tableau for data-related tasks. Harsh is
a valuable asset for projects requiring a data-driven perspective, showcasing his enthusiasm and capability for contributing effectively.

• The Complete SQL Bootcamp by Jose Portilla (Udemy)
• HackerRank SQL (Advanced) Certificate
• HackerRank SQL (Intermediate ) Certificate

Uber Fintech FDS Project - 4 Months (Active)

- Analyzed Uber's cost allocation methods for different Lines of Business (LOBs) like Rides and Eats, focusing on driver incentives and earning guarantees. - Utilized SQL to extract and analyze financial data, leading to actionable insights and ensuring data integrity and reliability. - Reconciled financial data from multiple sources and drilled down financial metrics from aggregated level to trip/order level. - Collaborated with FDS Data Engineers to monitor and analyze Data Anomaly alerts related to pipeline failures, upstream delays, or operational changes.

Digital Advertising Analysis and Optimization Project - 3 Months

- Provided actionable insights to the marketing team, resulting in a 15% increase in efficiency of advertising budget allocation. - Contributed to cost savings and boosted ROI by 20% through optimization of advertising spend using data-driven recommendations. - Leveraged MySQL and Google Sheets for efficient data preprocessing and analysis. - Developed interactive dashboards and visualizations using Tableau to effectively communicate insights to stakeholders.

Domino's Pizza Sales Analysis Project - 3 Months

- Conducted in-depth analysis of a 48,000-rowPizza Sales dataset using MySQL for data analysis.
- Formulated SQL queries to identify Top 5 and Bottom 5 pizzas by Revenue, Total Sales, and Total Orders, extracting actionable insights.
- Created a visually appealing Tableau dashboard, providing stakeholders with a comprehensive view of pizza sales trends and performance metrics.
- Sustained continuous improvement by consistently maintaining and updating the Tableau dashboard to support ongoing analysis
and decision-making.