Contact
Location
Work
Capital One
Data Science Intern (Capstone Project)
Developed a soft attrition metric to improve existing attrition models by identifying churn behavior early. Engineered new features to better identify customer churn behavior, improving F1 measure by 16% to 0.9. Created data pipelines and functions for big data to assist training and deployment of prediction models.
- Technical stack: Python, Jupyter Notebook, AWS, Git
- Packages: Scikit-leanrn, pandas, seaborn, matplotlib
- Modeling techniques: Random Forest Classifier, Gradient Boosted Classifier, Support Vector Classifier, Logistic Regression
- Skills: Classification models, Data Wrangling, Data Mining
University of Virginia
Graduate Research Assistant
Research and analysis of brand marketing campaigns on consumption behavior with Geo-Location data of 10 million rows. Identified patterns in food consumption behavior during COVID-19 based on socio-economic status.
- Technical stack: Python, Jupyter Notebook, AWS, Rivanna (UVA's High-Performance Computing System)
- Packages: pandas, geopandas, matplotlib, seaborn
- Skills: Data Wrangling, Data Mining, Hypothesis Testing, Statistical Analysis & Inference
BDO India LLP
Senior Assistant - Deal Advisory Services
Evaluated financial statements based on business models of target companies to suggest adjustments in earnings, working capital, net debt and cashflow as part of financial due diligence for clients. Identified key patterns in revenue/expenses and its driving factors over voluminous data spanning at least 3 financial years. Developed analysis frameworks to automate financial analysis processes, increasing efficiency by 90%.
- Technical stack: MS Excel, MS Powerpoint, S&P Capital IQ
- Skills: Financial Analysis, Due Diligence, Pivot tables, Reports & Presentations, Client Engagement, Business Development
Jindal Pipes Limited (Offshore Drilling Division)
Officer - Business Development
Analyzed market trends in Oil & Gas industry to extract actionable insights for business development strategies. Developed and tracked 5+ KPIs to report to upper management and to use them in client pitches.
- Technical stack: MS Excel, MS Powerpoint
- Skills: Business Development, Market Research, Pivot tables, Client Presentations
Volunteer
Child Rights & You
Public Action Group Volunteer
Volunteered with a public action group in Dwarka, New Delhi to assist with academics and extra curriculars of economically underpriveliged students.
- Organized a fund raiser worth $3k
Education
University of Virginia
Courses
- DS6014 - Bayesian Machine Learning
- SYS6018 - Data Mining
- SYS6016 - Machine Learning
- DS5001 - Text Analytics
- DS6002 - Ethics of Big Data
- STAT6021 - Linear Models for Data Science
- SARC5400 - Data Visualization
- CS5010 - Programming and Systems for Data Science
- CS5012 - Foundations of Computer Science
Publications
Evaluating and Improving Attrition Models for the Retail Banking Industry
Journal: 2020 Systems and Information Engineering Design Symposium (SIEDS)
This paper introduces and evaluates methods that help redefine the attrition response variable and proposes techniques that improve on the existing attrition models, specifically for the retail banking industry.
Projects
Languages
English
Hindi
Interests
Music
- Guitar
- Piano
- Progressive rock
Sports
- Basketball
- MMA
- Formula 1
Travel
- Visited 9 countries across 3 continents
- Next dream destination: Norway
- Next bucket list item: Skydiving