About Me

I’m a Data Science enthusiast with over 4 years of diverse experience spanning Quality Assurance, operations, analytics, and compliance across leading organizations including Amazon, Concentrix, Cyber-co Solutions, and HGS.

My expertise blends technical skills — Python, Pandas, advanced Excel, statistical data analysis, and Jenkins CI/CD — with quality-focused processes that ensure high-performance deliverables. At Amazon, I led QA for Python code changes, optimized CI/CD pipelines, and drove data-driven insights for business impact.

I excel at interpreting data, identifying patterns, and translating them into actionable solutions that enhance efficiency and accuracy. With a strong foundation in functional testing, defect reporting, and process optimization, I bring both precision and innovation to every project.

I am a valuable asset to any team, confident in my ability to make a significant contribution to organizational success. I’m eager to learn new things and always willing to go the extra mile to deliver results that exceed expectations.

Beyond technical execution, I’m passionate about continuous learning, solving complex problems, and embracing challenges that push boundaries. My goal is to leverage my analytical mindset and technical acumen to advance in Data Science and contribute to impactful, data-driven decisions in forward-thinking organizations.

Core Skills: