Harsh Patel

Data-driven Analyst with 2+ years of experience turning complex datasets into actionable business insights across enterprise environments.

Experience in building automated ETL pipelines that improved processing efficiency by 60% and Power BI/Tableau dashboards that boosted data-driven decision-making by 30%. Expertise in automating 20+ reports and eliminating 20+ hours of manual work weekly through Python, SQL, and Power Query solutions. Skilled in the full analytics stack SQL, Python (Pandas, NumPy), Power BI, Tableau, AWS, and MySQL/PostgreSQL with a strong foundation in statistical analysis, predictive modeling, and Agile delivery.

Data Analyst - HCL Tech

(2025-02)

• Developed automated ETL pipelines using Python (Pandas, NumPy) and SQL to extract, clean, transform, and integrate data from MySQL, PostgreSQL, improving processing efficiency by 60%
• Built and maintained interactive Tableau and Power BI dashboards to visualize KPIs, business performance, and operational metrics, enabling a 30% improvement in data-driven decision-making.
• Performed statistical analysis, including regression analysis and time series forecasting, to identify trends and support business planning and decision-making.
• Utilized AWS S3 for secure data storage and AWS Glue to automate ETL workflows, supporting efficient data integration and analytics.
• Collaborated with cross-functional teams in an Agile/Scrum environment, utilizing JIRA to track project progress, manage tasks, and deliver analytical solutions.
• Analyzed large datasets to identify trends, patterns, and actionable insights, supporting business performance optimization.

Associate Data Analyst - Cybage Software

(2023-06 - 2024-12)

• Created and automated 20+ reports using SQL and Python to track business performance, identify improvement opportunities, and support 10+ strategic initiatives, reducing manual reporting
• Designed and maintained 15+ interactive Power BI and Looker Studio dashboards, translating complex datasets into actionable insights for marketing and operations stakeholders.
• Conducted data validation and quality assurance checks to maintain data integrity across multiple databases and reporting systems.
• Automated reporting workflows using Power Query and Excel macros, eliminating 20+ hours of manual work weekly while ensuring 100% on-time delivery of monthly performance reports.
• Managed CRM data quality initiatives by performing data cleansing, validation, deduplication, and standardization, improving data accuracy and ensuring reliable reporting and actionable business insights.

Master of Computer Science - Computer Science - Algoma University (2025-01 - 2025-12)

Bachelors - Computer Engineering - Gujarat Technology University (2020-08 - 2024-06)