About
Analytical and detail-oriented Data Analyst with hands on experience in Python, SQL. Proficient in extracting insights from large datasets, building predictive models, and creating interactive dashboards to drive business decisions. Developed end-to-end analytics projects including recommendation systems. Strong command over data cleaning, and visualization using tools like Pandas and NumPy.
Skills & Expertise (17)
Work Experience
Intern
NIELIT
Present - Present
Performed data analysis on American Express transaction data using Python, Pandas, and Matplotlib, uncovering customer behavior patterns and spending trends for 1,000+ customers. Conducted customer segmentation based on spending habits, improving marketing campaign targeting by 20%, and developed visualizations and dashboards for better decision-making, boosting reporting efficiency by 30%. Built and evaluated predictive models to forecast customer behavior and spending, achieving an accuracy rate of 90%.
Intern
Infosys
June 2025 - December 2025
Infosys Springboard Virtual Internship 6.0. This opportunity marks a significant step forward in my professional journey, and I'm grateful to Infosys for enabling learners like me to gain real-world exposure, technical experience, and hands-on learning from one of the most respected organizations in the tech industry.
Education
B. Tech - Electronics and Communication Engineering - Sri Venkateswara College of Engineering and Technology
2022 - 2026 · India
Intermediate MPC - Sri Prathibha Junior College
2020 - 2022 · India
SSC - Geethanjali EM High School
2019 - 2020 · India
Certifications
Python
Infosys · 2025
Basics of Python
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Citizen
Relocation
Depends on Offer