Thomas Leininger Email and Phone Number
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I am a hands-on full-stack data science leader at Mission Lane where I lead our Automation group (Machine Learning Engineering) and do side work in model fairness. We're building a unified feature store and a model auto-rebuilding platform to enable our partners to see the potential impact of new models and deploy them quicker. Prior to this role, I led model development to deliver millions in PV for our Card business.Prior to Mission Lane, I spent 7 years at Capital One working in the Auto Finance vertical building models to optimize valuations, pricing, marketing, and operations. I also spent three years in model risk management leading model validations across the business and becoming a Model Risk Officer.I graduated with a PhD in Statistical Science from Duke University in 2014. My dissertation research under Alan Gelfand involved developing methods for model validation and inference for Bayesian spatial point process models.Proficiencies: Python, SQL, Airflow, XGBoost, LightGBM, Git, Unix, Spark, R, Cloud Computing.Familiar with: Kubernetes, Docker.
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Senior Manager, Data ScienceMission Lane Jul 2023 - PresentRichmond, Va, Us- Currently leading our Machine Learning Engineering Automation team: we're building a feature store and model auto-rebuilding platform to help scale our data science team, freeing up multiple FTEs/year to work on high-impact projects, and delivering better models faster- Led credit line increase model rebuild, resulting in $11MM PV/year
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Principal Data ScientistMission Lane Jun 2021 - Jul 2023Richmond, Va, Us- Built credit line increase risk model using LightGBM and mentored the subsequent build, resulting in millions of dollars of PV and improving CLIP rates by ~10%- Rebuilt data intake pipelines for vendor data to standardize and extract features and make them consumable in Snowflake (legacy Java code)- Led several model fairness evaluations and trained other associates
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Sr. Manager, Data ScienceCapital One Jan 2019 - Jun 2021Mclean, Va, Us- Led Auto Refinance data science team, delivering profit and improved customer experiences through ML solutions for underwriting, optimized pricing, personalized marketing, and operational improvement- Five years of experience in model risk validation, providing extensive critique and resolving issues with executives; oversaw MRM activities as a Model Risk Officer -
Manager, Data ScienceCapital One Jul 2016 - Jan 2019Mclean, Va, Us- Developed internal Python package for feature selection used by dozens of data scientists, providing up to 20x speedup in runtime on large datasets using linear algebra and statistical techniques- Built predictive models and data pipelines using Spark, Scala, Python, H2O, R, Hive, etc.
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Sr. Data ScientistCapital One Jul 2014 - Jul 2016Mclean, Va, Us- Guided rebuild and monitoring of valuations and marketing models- Helped lead movement to adopt open source and big data tools for data processing and modeling
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Student Services ContractorUs Epa Sep 2011 - May 2014Washington, Dc, Us- Built downscaling models to incorporate numerical output into predicting hourly ozone levels- Updated Matlab software to analyze current pollution levels across the United States by fusing monitoring site and numerical model data -
Research AssistantDuke University May 2011 - May 2014Durham, North Carolina, Us- Developed model validation, inference, and model selection methods for Bayesian spatial point pattern models- Developed Bayesian multivariate CAR models for spatial analysis of large-scale land cover compositional data -
Sta 101 InstructorDuke University May 2013 - Jun 2013Durham, North Carolina, Us- Taught introductory data analysis and statistical inference class with 15 undergraduate students
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Teaching AssistantDuke University Aug 2010 - May 2011Durham, North Carolina, Us-Led weekly labs, graded homework, and held office hours for STA 113 and 213
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Summer AssociateRand Corporation May 2012 - Aug 2012Santa Monica, Ca, Us- Analyzed treatment outcomes of rolling group therapy for clients with behavioral health disorders- Performed mediation analysis to understand nature of intermediate outcomes in DUI interventions -
Research AssistantBrigham Young University Feb 2007 - Jul 2010Provo, Ut, Us- Performed research on Bayesian clinical trial design, functional data analysis, and criminology trajectory modeling- Mentored other students individually in learning the fundamentals of Bayesian statistics
Thomas Leininger Skills
Thomas Leininger Education Details
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Duke UniversityStatistical Science -
Brigham Young UniversityStatistics
Frequently Asked Questions about Thomas Leininger
What company does Thomas Leininger work for?
Thomas Leininger works for Mission Lane
What is Thomas Leininger's role at the current company?
Thomas Leininger's current role is Senior Manager, Data Science at Mission Lane | Ex-Capital One.
What is Thomas Leininger's email address?
Thomas Leininger's email address is th****@****one.com
What is Thomas Leininger's direct phone number?
Thomas Leininger's direct phone number is (877) 383*****
What schools did Thomas Leininger attend?
Thomas Leininger attended Duke University, Brigham Young University.
What skills is Thomas Leininger known for?
Thomas Leininger has skills like R, Data Analysis, Bayesian Statistics, Sas, Matlab, Statistics, Latex, Statistical Modeling, Data Mining, Machine Learning, Multivariate Statistics.
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