Experience

 
 
 
 
 

Business Analytics Manager

Capital One

February 2023 – Present Richmond, VA

Product Analytics - Small Business Credit Card

  • Spearheaded analytics and strategy for the launch of Expense Management solution to small-business card customers; grew usage 15% month-over-month and delivered sustained profitability
  • Boosted bottom-funnel conversion rates 20x by designing a segmented marketing framework and enabling targeted customer outreach
  • Unlocked $120M in incremental purchase volume by engineering and deploying a production-grade data pipeline for intelligent email campaigns
  • Developed the business case and financial model for standing up a new customer onboarding function; the team achieved break-even in under a year and delivered a 4.5x ROI over their lifetime
  • Partnered with Sales to boost product adoption, delivering customer insights and tailored usage data to field associates; generated a 3x increase in client referrals, accounting for 20% of new adopters
  • Rebaselined annual OKRs by analyzing forecast variances and collaborating with stakeholders to model new targets; secured executive approval for a 30% higher goal
  • Led a team of two analysts by prioritizing initiatives, delegating tasks, and managing performance; consistently achieved 100% positive ratings on team feedback surveys
 
 
 
 
 

Principal Data Analyst

Capital One

July 2021 – February 2023 Richmond, VA

Regulatory Operations Analytics

  • Directed platform migration for 50-agent support shop; coordinated with product teams, scoped requirements, and championed adoption, improving agent satisfaction scores by 25%
  • Engineered scalable Python and SQL-based ETL pipelines, mapping 200+ data points; implemented audit reports that cut agent errors by 15%
  • Improved risk non-compliance detection by 30x by implementing NLP-based controls analyzing millions of call transcripts
  • Strengthened resilience of high-traffic Tableau dashboards, reducing support tickets by 45%
  • Managed junior analysts, supporting growth through structured coaching and feedback
 
 
 
 
 

Senior Data Scientist

American Credit Acceptance

September 2019 – July 2021 Spartanburg, South Carolina

Credit Risk Analytics - Auto Finance

  • Led pricing strategy and portfolio expansion by designing targeted A/B experiments and a segmented credit risk model; delivered 80MM incremental revenue and 4MM in combined profit growth
  • Owned and optimized R-based pricing model stack driving $1.4B annual revenue; eliminated technical debt by cutting code length by 3x and saved 600+ annual implementation hours
  • Developed an ARIMA-regression model to predict delinquency rates, reducing MAE by 30%; created an RShiny self-serve simulation tool enabling servicing leaders to run scenario analyses
  • Started and led weekly meetings with the team and conducted sessions on advanced credit risk modeling concepts
 
 
 
 
 

Business Process Consultant

SAP

August 2015 – March 2018 Bangalore, India

Enterprise Software Development

  • Delivered six global projects by streamlining cross-functional processes and creating descriptive analytics workflows
  • Built a reusable cost matrix to size transformation efforts for 25+ clients, later adopted globally by SAP teams
  • Led a 3-person team in California; delivered successful go-live by aligning priorities and resolving blockers

Skills

Machine Learning

Experienced in exploratory, supervised and unsupervised learning methods to extract knowledge from historical data. Worked extensively with linear, tree-based and neuralnet models.

Visualization

Highly skilled at turning numbers into digestable graphical insights by following key design principles to make clear, clean, and concise charts in tableau, ggplot and plotly.

Business Intelligence

Putting the insights into actions. Through A/B testing, measuring performance and success metrics to create new value from the data.

Statistics

Proficient in exploring the statistical significance of identified trends through hypothesis testing and analysis of variance.

SQL

Expert in retrieving data efficiently through data modeling and stored procedures. Also worked with Hadoop and PySpark

R & Python

Extensive experience with tidyverse and RShiny with some experience in pandas and scikit-learn.

Projects

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LM vs ML

Comparing regression to modern machine learning algorithms

K-Means Clustering - A Sparse Version of PCA

Exploring the idea that PCA are continuous solutions to K-Means

Artificial Neural Network

Study of ANNs to predict bankruptcy

Association Rules - Cincinnati Zoo

An app based on Apriori that recommends customer purchases

Customer Centric vs Operational Marketing

Customers’ purchase behavior to a retail chain’s personalized coupons

INC 5000 Rankings

Analyzing the stability of INC 5000 companies

Building Index Using Principal Component Analysis

Ranking countries by Olympics sprint time after dimensionality reduction

Predicting Boston Housing Prices

Using linear regressions and tree based models

Modeling Flight Landing Overruns

A statistical analysis of factors affecting landing

Coral Health Study

Assessing coral bleach around the island of Koh Tao

Global Economy Monitor

Dashboard of economic development parameters of countries of the world

Kansas City Crime Stats

A Tableau dashboard exploring the crime statistics of Kansas City