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Data Science with 3+ years in Data Analysis & Project Management
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Data-driven professional with 3+ years of experience in project management at Reliance Industries, skilled in analyzing large-scale operational data to drive efficiency and business insights. Completed a Post Graduate Program in Data Science and Business Analytics from the University of Texas at Austin. Passionate about leveraging data to solve business problems, optimize performance, and support strategic decision-making.
University of Texas, Austin (McCombs School of Business)
Post Graduate Program · Data Science and Business Analytics
July 1, 2024 – August 1, 2025
Delhi Technological University
Bachelor of Technology · Mechanical
August 1, 2018 – May 1, 2022
G.B Pant Polytechnic
Diploma · Mechanical
August 1, 2013 – June 1, 2016
Reliance Industries Limited
Team member - Project Management
August 4, 2022 – Present
India
Churn Analysis via Supervised Classification
June 18, 2026 – Present
Enabled early identification of high-risk customers, supporting proactive retention strategies and reducing potential churn by 15-20%. Provided actionable insights into key churn drivers, guiding personalized offers, loyalty programs, and premium customer support. Helped optimize marketing spend by focusing efforts on high-value and at-risk customer segments.
View ProjectNew Wheels Case Study -SQL
June 18, 2026 – Present
Analyzed transactional data from a vehicle resale company to evaluate sales, revenue trends, and customer satisfaction across four quarters. Identified declining quarterly revenue (-20% in Q4) and rising negative feedback, providing data-driven recommendations to improve service quality, optimize pricing, and boost customer retention. Delivered actionable insights on shipping delays and regional brand preferences, helping business teams design targeted marketing and operational improvement strategies.
View ProjectCar Insurance Claim Analysis – Tableau Dashboard
June 18, 2026 – Present
Built an interactive dashboard to analyze car insurance claims, uncovering high-risk segments such as blue-collar professionals and female SUV owners. Provided business insights that can help insurers optimize premium pricing and reduce potential claim losses by up to 20%. Identified low-risk customer groups for targeted premium offerings and customer retention strategies.
View ProjectInferential Statistics – Hypothesis Testing Across Domains
June 18, 2026 – Present
Conducted statistical analysis across sports, manufacturing, and healthcare datasets to uncover factors affecting performance and product quality. Generated insights that could help reduce material waste, improve product reliability, and enhance operational decision-making through data-backed evidence. Applied inferential statistics to support quality assurance, risk reduction, and strategic process improvements in real-world business contexts.
View ProjectPGP in data science and business analytics
Great Learning
July 31, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science techniques across various domains (customer churn, insurance claims, transactional data, inferential statistics in sports/manufacturing/healthcare). This breadth, combined with their current role in project management and ongoing PGP in Data Science, suggests an adaptable and learning-oriented individual. The target role of Data Science aligns well with their current educational pursuit and project experience, indicating a strong interest and commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as data storytelling, stakeholder communication, problem-solving, critical thinking, collaboration, and cross-functional teamwork, which are crucial for operational fit in a data science role. Their experience at Reliance Industries involved communicating insights and process improvements, indicating an ability to translate technical findings into business value.