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Data Science with less than a year in Analytics & Modeling, proficient in Python, SQL, and Power BI.
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As a driven Data Science professional with 0.5+ years of combined internship experience, I specialize in leveraging Python, SQL, and Power BI for advanced analytics and modeling. My background includes developing predictive churn models with 85% accuracy, optimizing ride-sharing operations for efficiency, and building interactive dashboards to track key business metrics. I am adept at identifying critical patterns, recommending data-driven strategies, and contributing to significant improvements in customer retention and operational efficiency.
Indian Institute of Technology, Madras
Dual Degree in Biological Engineering · Biological Engineering, Minor: Neuroscience
N/A – June 30, 2026
Narayana College, Tirupati
Class XII (State Board)
N/A – May 31, 2021
Narayana School, Tirupati
Class X (State Board)
N/A – May 31, 2019
Volga systems
Customer Retention & Growth Analytics Internship
May 1, 2025 – July 31, 2025
New Zealand
Nirmaan IIT Madras
Medow Internship
November 1, 2024 – January 31, 2025
India
XR Immobilizing using CLEA (Master Thesis)
July 1, 2025 – June 30, 2026
Initiated first-time immobilization of the XR-GDH cofactor regeneration system using CLEA technology to enhance xylitol production. Executed recombinant XR purification via His-tag chromatography and optimized enzyme assay protocols, activity and stability evaluation. Applied Biochemical techniques including protein purification, enzyme kinetics, and cofactor regeneration for enhanced biocatalytic output. Planned HPLC for precise and detailed quantification to validate xylitol yield, aiming for high-yield, scalable, and industrially feasible results.
Uber Ride Demand & Operations Optimization
November 1, 2024 – December 31, 2024
Analysed 55,000 Uber trip records using Python to identify trends, with the top 15% customer segments generating ~82% of rides. Built dashboards revealing 5 high demand zones covering 46% of rides, enabling smarter driver allocation and improved peak hour coverage. Segmented rides by time and season uncovering demand surges and that ~15.8% of trips generate ~45% of total revenue to guide strategies. Recommended operational changes and optimized workflows, modelling a 12% reduction in idle time and a 25% boost in rush-hour service.
E-Commerce Revenue & Demand Modeling
July 1, 2024 – September 30, 2024
Built interactive Power BI dashboards using 30000 sales records, combining Python & SQL to track revenue, margins, and repeat purchases. Applied RFM and Pareto analysis to find that 20% of customers bring in ~68% of total revenue, guiding high-value customer strategies. Conducted monthly and seasonal trend analysis, confirming November & December as peak months, driving targeted marketing and stocking. Identified Electronics & Clothing have the best profit margins, repeat buyers spend 1.8× more vs first-timers supporting loyalty investments.
Certificate 'B' examination
Ministry of Defence, Government of India
June 1, 2026 – Present
Duolingo learning streak
Duolingo
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from e-commerce and ride-sharing analytics to biochemical research, indicates a broad intellectual curiosity and adaptability. Their involvement in various extracurricular activities and leadership roles suggests a proactive and engaged individual who can contribute positively to team dynamics. The academic background in Biological Engineering with a minor in Neuroscience, while not directly in computer science, shows a multidisciplinary approach to problem-solving, which can be a valuable asset in a data science team. The internships, though short-term, show an interest in applying analytical skills in real-world business contexts.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and organizational skills through various coordinator roles in academic events. Their ability to manage budgets, lead teams, and coordinate large-scale events suggests good operational fit and potential for cross-functional collaboration. The Medow internship also highlights an interest in sustainable practices and product development, indicating a broader perspective. The NCC certification and Duolingo streak suggest discipline and a commitment to continuous learning.