Experience

 
 
 
 
 

Business Analytics Manager

Capital One

February 2023 – Present Richmond, VA

Business Deals Insights

  • Monetization and Goal Setting: Pioneered a comprehensive monetization forecast model to project revenue for Business Deals. Formulated 3 new strategic metrics to track while continuously integrating leadership feedback and partner buy-ins.
  • Identified key trends in ongoing Card cross-sell campaign and determined path forward to improve revenue from NPV by 2.4X
  • Empowered Merchant Relationships Team: Developed the direct-spend strategy to identify high-spend merchants and delivered data-driven recommendations for crafting deals. Forecasted to drive $9M in incremental spend on Small Business Cards.
  • Designed and developed Pipeline Tableau dashboard to monitor deal onboarding rate and improve visibility into team activities
  • Managed Executive Readouts for Business Deals, leading the creation of monthly Top of House MBR deck and determining key wins to share with SLT; Owned the performance tracker and presented progress and updates during monthly team meetings.
 
 
 
 
 

Principal Data Analyst

Capital One

July 2021 – February 2023 Richmond, VA

Card Regulatory Adherence

  • Lead Tech and Process Liaison for AQA’s migration into Sage platform: Played a pivotal role in the seamless onboarding of the 50-agent shop to Sage. Led 12+ deep-dive working sessions to scope requirements and maintained strong relationships with product teams. Established backwards-compatible processes and championed adoption through demos and E2E user testings
  • Spearheaded the mapping of over 230 data points into the existing operational infrastructure. Developed a reusable and scalable python codebase and implemented 6+ daily audit reporting to track potential agent data-entry errors on Sage.
  • Compliance Risk Controls Development: Implemented text analytics controls analyzing millions of phone transcripts to identify calls with the highest likelihood of risk non-compliance. Led to ~30X improvement in control adherence rates.
  • Created tools for full-file ML model analysis and implemented alerts to prompt resource adjustments for abnormal outputs
  • Executed the migration of tables to Production space; Assisted 13+ Data Analyst orgs with standards and best practices.
  • Managed 2 associates, providing coaching and effective guidance to enhance their professional development
 
 
 
 
 

Senior Data Scientist

American Credit Acceptance

September 2019 – July 2021 Greenville Area, SC

Credit Risk Analytics - Auto Finance

  • Pricing Strategy Implementations and Portfolio Expansion: Identified opportunities and implemented loan pricing strategies that increased annual profit by $2.8M. Formulated and owned A/B experiments targeting high profitability loan pools.
  • Substantially increased penetration in new channel by introducing a segmented credit risk model. Maintained price elasticity, bringing in $10M revenue
  • Engaged regularly with executives and department heads to receive approval and buy-in for novel implementations
  • Advanced Predictive Modeling and Codebase Enhancement Initiatives: Developed an ARIMA + regression based predictive model to determine delinquency rate. Explored various approaches and improved MAE by 30%; Introduced a RShiny based self-serve product for leaders to conduct what-if analyses by adjusting the model’s influence variables
  • Owned RProject Pricing Model Stack; Took proactive initiatives to optimize the codebase that generated $1.4B annual revenue. Eliminated technical debt, reducing code length by 3X and slashing implementation times by 300+ hours
  • Brought substantial transparency improvements to black-box processes by developing tools that reduced analysis time by 80%
  • Started and lead 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

  • Analyzed cross-functional business processes and designed end-to-end applications to improve strategies and operations
  • Developed reports and dashboards using OpenSQL, ABAP (Advanced Business Applications Programming) and JavaScript, enabling descriptive analytics for customers across industries and geographies
  • Engaged with global clients and coordinated across multidisciplinary teams to deliver 6 multi-million dollar projects successfully
  • Experienced in Retail, Finance, Sales and Distribution, Warehouse Management, and Pricing domains
  • Prepared a trend-setting estimation matrix to evaluate effort and cost of SAP landscape transformations. Supervised the team that prepared the analysis reports for 25 clients
  • Senior on-site representative at a leading cosmetics company in Los Angeles, CA. Managed a team of 3 and engaged with leadership for effective and successful closure of go-live phase

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

*

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