Atharv Naik

I’m a results-driven Data Analyst with hands-on experience in SQL, Python, Power BI, and ETL processes. I focus on data mining and year-over-year business performance analysis, then translate findings into clear, decision-ready insights.

In my recent Data Analytics Intern role, I performed data mining and extraction on large transaction datasets to uncover behavioral patterns and anomalies. I also designed ETL pipelines for data preparation and transformation, ensuring data quality and integrity across analytical workflows.

I’ve built end-to-end analysis and monitoring frameworks, including a fraud detection classification model with documented performance metrics. I also create reporting that stakeholders can use immediately, using dashboard design and automated reporting to support data-driven decision-making.

Beyond analytics, I strengthened my quality and engineering mindset through testing and automation—automating regression testing with Python and Selenium. With projects like YoY comparative analysis and predictive fraud detection, plus an industry simulation covering Excel, SQL, Power BI, and Python, I’m ready to deliver measurable impact while collaborating cross-functionally.