Motivated Master’s student in Business Analytics at The University of Texas at Dallas, specializing in Data Science. Awardee of the Dean’s Excellence Scholarship with a commendable GPA. Executive Post Graduation diploma in Machine Learning and AI from IIIT Bangalore and a B.Tech in Computer Science and Engineering from Kalasalingam University, India.

Certified in IBM Data Science and Microsoft Certified: Azure Data Scientist Associate, I excel in analytics tools—Amplitude, Appsflyer, Omniture, Power BI, Tableau, and programming languages like Python, R, SQL and PySpark. Proficient in Windows, MacOS, Linux, and databases including Oracle, DB2, SQL Server, and Spark SQL.

As a Business Analyst at Tredence Analytics Solutions, I automated processes, reducing manual effort by 20% through Python and Airflow. Demonstrated analytical prowess with a 12% reduction in campaign cycle time and a 17% reduction in delivery costs with Ecolab on Delivery Optimization.

As a Summer Intern at Mega Shots Internet, I predicted customer behavior, resulting in a 35% reduction in marketing costs.

In academic projects, I focused on Employee Attrition, employing data analysis techniques to enhance employee satisfaction. Published a paper in the Springer Proceedings, contributing to a 30% increase in conference citations. The Data Sci-Bot project showcased my ability to create automated data analysis tools and default ML models, contributing to a 30% increase in data processing efficiency.

In leadership roles, I served as the President of the Kalasalingam Data Science Club, implementing a strategic plan that significantly increased student awareness of Machine Learning and AI.

Organizations such as the Coders Club at Kalasalingam University and the Robotics Club at IIIT-B enriched my learning experience.

With a CGPA of 4.0 at The University of Texas at Dallas, I am well-versed in methodologies and technologies for Data Analyst, Data Scientist, and Business Analyst roles. Eligible to work in the US for internships and full-time roles for up to 36 months without sponsorship, I am ready to contribute to innovative projects in the field.