Abhishek Goel
Dallas,TX
Summary
Dynamic data science leader with a founder’s mindset and an operator’s discipline, I have built and scaled analytics organizations that have delivered $500 MM+ in incremental revenue and savings across consumer lending, marketing, credit, fraud, and portfolio management. My edge lies in fusing deep statistical and ML expertise with regulatory fluency—architecting compliant, end-to-end decision engines that move as fast as the market while satisfying the strictest oversight. I thrive in ambiguity, spotting white-space opportunities and launching or enhancing platforms with enterprise standards. Whether guiding GTM strategy or products launch, sharpening credit-risk posture, or unlocking hyper-personalized growth loops, I align cross-functional teams around clear, data-validated priorities and drive execution from experiment to scaled impact. In short: I invent, operationalize, and monetize data products that turn complex, compliance-heavy challenges into decisive competitive advantages.
Overview
17
17
years of professional experience
Work History
Adjunct Professor of Data Science and Program Advisor
UT Dallas - Naveen Jindal School of Management (JSOM)
Dallas, USA
05.2017 - Current
Founder & CEO
Dasceq
Dallas, USA
02.2018 - 03.2025
- Built & scaled an AWS-native AI/ML consumer collections platform, powered 20+ lenders—including a Fortune 10 bank.
- Processed $6 B+ in delinquency, boosting collections 30 % and cutting charge-offs 15 % and $150 MM in savings.
- Engineered a AWS-driven data stack—bureau feeds, real-time segmentation, and offer optimization—end to end.
- Ran high-velocity A/B tests across email, DM, phone, and trigger channels, unlocking double-digit response lifts.
- Embedded governance and compliance by partnering with C-suite, legal, and regulators from design through deployment.
- Hands-on leader: codes ML pipelines, tunes models, and mentors teams to ship production-grade solutions fast.
SVP – Model Governance
Citigroup
Dallas, USA
11.2016 - 01.2018
- Gatekept model risk, approved complex credit exposures and model changes as the second line of defense, safeguarding safety-and-soundness.
- Directed 5-10 modelers, owned the loss-forecast, segmentation, and NLP agenda, signing off on model-monitoring results for multi-billion-dollar books.
- Turned analytics into policy by codified credit-line up/down rules, model-triggered controls, and exception playbooks ratified by cross-functional committees.
Sr. Manager – Innovation & Portfolio Management
Think Finance
Dallas, USA
07.2015 - 07.2016
- Doubled risk-adjusted profit on a $200 MM portfolio by engineering precision credit-line and dynamic-pricing strategies.
- Scaled invitation-to-apply & pre-qual DM programs—stress-tested for minimal loss drift—unlocking new volume without raising risk.
- Commanded the full customer lifecycle (acquisition → collections), anchoring every move to KPI scorecards and ROI thresholds that drove continuous lift.
Manager – Modeling & Account Management
PwC
Dallas, USA
10.2013 - 10.2014
- Faced flat digital engagement at top-tier global banks; rolled out portfolio-scale AI (behavioral clustering + NLP), lifting engagement 22 % and adding $1.5 MM ARR.
- Battled rising CPA on omnichannel campaigns; built response-propensity / micro-segmentation models that cut acquisition cost 18 % and became the banks’ growth playbook.
Manager – Modeling & Analytics
Argus Information
White Plains, USA
11.2012 - 10.2013
- Pioneered record-breaking, next-gen ML “Bust-Out” fraud models—now an industry standard—neutralizing synthetic-credit rings and saving clients $100 MM+.
- Advised top-10 card issuers on credit and marketing strategy, fine-tuning targeting algorithms and campaign execution to deliver 3:1+ ROI and outsized, risk-adjusted profitability.
Sr. Product Manager – Modeling & Analytics
US Bank
Philadelphia, USA
03.2008 - 10.2012
- Tamed a $500 B merchant exposure: engineered unified fraud-plus-credit controls that cut losses 20 % while holding approval rates steady—a game-changer for high-velocity merchant risk.
- Maximized a $7.2 B co-brand card book (Vistaprint, Harley-Davidson, Holiday Inn): steered a $60 MM marketing budget, squeezing an extra 18 % spend efficiency from previously siloed channels.
- Deployed cross-channel targeting AI: built segmentation & offer-optimization models for email, DM, and digital that lifted acquisition 25 % and slashed CPA 30 %, turning fragmented data into a single growth engine.
Education
MS - Applied Economics
North Dakota State University
Fargo, ND12.2007
MBA -
West Bengal University of Technology
India05.2006
BS - Accountancy
University of Calcutta
India05.2004
Skills
AI strategy development
- Applied machine learning techniques
- MLOps proficiency (AWS, Snowflake, SageMaker, Databricks)
- Marketing, Credit, Fraud and Collection Analytics
- Compliance with model governance regulations
- Mentorship in team leadership
- Ownership of P&L responsibilities
- Strategies for go-to-market execution
- Development of targeting models
- Processes for pre-screening approvals
- Testing through A/B methodologies
- Modeling for attribution analysis
Timeline
Founder & CEO
Dasceq
02.2018 - 03.2025
Adjunct Professor of Data Science and Program Advisor
UT Dallas - Naveen Jindal School of Management (JSOM)
05.2017 - Current
SVP – Model Governance
Citigroup
11.2016 - 01.2018
Sr. Manager – Innovation & Portfolio Management
Think Finance
07.2015 - 07.2016
Manager – Modeling & Account Management
PwC
10.2013 - 10.2014
Manager – Modeling & Analytics
Argus Information
11.2012 - 10.2013
Sr. Product Manager – Modeling & Analytics
US Bank
03.2008 - 10.2012
MS - Applied Economics
North Dakota State University
MBA -
West Bengal University of Technology
BS - Accountancy
University of Calcutta
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