About
Performance-driven Computer Science student with a robust foundation in Data Analysis, Machine Learning, Python, and Java, dedicated to developing scalable tech solutions. Proven ability to translate complex data into actionable insights, as demonstrated by analyzing large datasets and optimizing strategic initiatives. Eager to leverage strong analytical skills and problem-solving capabilities to contribute to impactful projects and drive real-world solutions.
Work
Hyderabad, Telangana, India
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Summary
Analyzed complex datasets to generate actionable insights for strategic decision-making and operational optimization within a dynamic internship environment.
Highlights
Conducted in-depth analysis of the IMDB dataset, identifying top-performing movies (e.g., Avatar with $523M profit) and influential directors (e.g., Charles Chaplin, Tony Kaye with an average rating of 8.6) to inform content strategy.
Generated comprehensive HR analytics on departmental distribution, revealing that operations held the largest departmental share (39% or 183 employees), which directly informed and optimized recruitment strategies.
Developed a data-driven loan approval strategy through detailed customer data analysis, successfully identifying non-defaulters and contributing to the maintenance of a low Non-Performing Asset (NPA) rate.
Awards
Runner-up, Code Contest
Awarded By
Geeks for Geeks @ MRCET
Achieved runner-up position in a competitive coding contest, demonstrating strong problem-solving and algorithmic skills.
Smart India Hackathon 2023 College Qualifier
Awarded By
Smart India Hackathon
Qualified for the college level of the prestigious Smart India Hackathon, showcasing innovative thinking and technical prowess in a national competition.
Skills
Databases
MySQL.
Programming Languages
Java, Python, JavaScript.
Web Technologies
HTML, CSS, PHP, MySQL.
Data Analysis & Tools
Tableau, Power BI, Microsoft Excel, Data Analysis, HR Analytics, Financial Analysis.
Machine Learning & AI
Machine Learning, Artificial Intelligence, LSTM, Random Forest, Predictive Modeling.