Senior Data Scientist
Resume:
Huntley G. Manhertz, Ph.D.
***** ********* **** ***** • Riverview, FL 33579
*********@*****.***
PROFESSIONAL SUMMARY
Data Science executive with deep experience in enterprise analytic solution implementations across descriptive, decision based (optimization) and predictive modeling applications within multiple sectors. Experience in the following areas:
Credit Score Model Development Call Center Analytics Revolver/Transactor Analytics Risk Attribution Segmentation & Market Structure Customer Segmentation Customer Attrition Analytics Customer Experience Analytics Default Probability Analytics PROFESSIONAL EXPERIENCE
Kay Jewelry - Contract
Lead Data Scientist, FL 2024
Responsibilities include the development of segmentation and time series models to determine impact of customer satisfaction NPS on sales and purchase frequency over time.
• Develop TS models to predict the volumetric forecast High satisfied customers “promoters” will spend and purchase more within a 365-day window than less satisfied customers “detractors” controlling for market dynamics and events. Models forecast within 3% of actuals within initial evaluations.
• Developed a customer segmentation model to identify high value customers for targeted category campaign strategies.
Old Republic - Contract
Lead Data Scientist, FL 2024
Responsibilities include the development of time series solution to plan quarterly bi-annual forecast predictions for home order contract across regional footprints. Grow the analytics practice across various verticals and client base.
• Develop TS hybrid models leveraging H2o ML models to target models with most accurate predictions.
• Developed a time series app for business users to evaluate over 50 models at the local level. HCL Technologies
Practice Director ML/AI North America, FL 2020-2023 Responsibilities include the development and execution of enterprise-wide predictive analytical solutions capabilities. Grow the analytics practice across various verticals and client base.
• Develop end to end enterprise-wide predictive analytics processes to detect and prevent inventory shrinkage, resulting in a $1.5 million reduction in losses.
• Created multi-level product level time series models for Signet omnichannel retailers improving forecasting error by up to 15% using Multi Level time series stacking techniques.
• Conducted price elasticity analysis to optimize pricing strategies, resulting in a 10% increase in sales volume and $2.5 million in additional revenue for Woolworth retailers.
• Led the digital transformation for US bank which involved converting Credit risk solutions built in legacy technology SAS to open-source python solutions.
Huntley Manhertz 813-***-****
• Spearheaded the implementation of a comprehensive customer journey analysis using machine learning models, which enhanced customer retention by 8% and increased the lifetime value by 11%. by identifying critical touchpoints and optimizing the customer experience, this project contributed directly to boosting the company's bottom line.
PSCU – Credit Union Payment Processor
Principal Data Scientist, St Petersburgh, FL 2017-2020 Responsibility includes the development and execution of predictive analytical solutions for Credit Union Clients.
• Developed risk assessment models using machine learning algorithms for credit card products, resulting in a 7% reduction in underwriting errors and improved underwriting profitability.
• Utilized claims data analysis and unsupervised and supervised fraud detection models to find suspicious patterns, reducing fraudulent claims by 12% and saving $400,000 annually.
• Built customer churn prediction models, enabling proactive retention strategies and reducing policy lapses by 8%, resulting in $1.1 million in retained premiums.
• Optimized Call Routing processes for 80+K calls per month with a 6 % reduction in average call handling time leveraging XGboost solutioning.
HealtheSystems (An Insurance Service Provider for major carriers) AVP - Predictive Analytics, Tampa, FL 2013-2017
Reporting to the COO, responsibilities include development and execution of enterprise-wide data, business intelligence and analytical capability. Built both advanced analytics and BI organizations from the ground up to support a $400+ M enterprise across Pharmacy Benefit Management (PBM) and Ancillary Benefit Management
(ABM) businesses.
• Partnered with C level leadership to develop long term strategic direction and functional alignment with the goals of the organization.
• Built enterprise-wide Risk predictive models to predict injured workers propensity to become Opioid depended
• Played the role of subject matter expert to internal and external C-suite client’s focusing on predictive analytic applications to address risk, misuse, cost containment and operational efficiency objectives.
• Develop enterprise-wide reporting platform for consumption of Key result and Key performance indicators across multiple business functions.
• Managed a 15-member team of data scientists and business intelligence professionals. Accenture Management Consulting – Global Analytics, Tampa, FL 2010-2013 Associate Principal – Sr. Data Scientist
Responsibilities include developing predictive analytic solutions that generate revenue growth opportunities for the practice, leading the design, development and execution of solutions targeting multifunctional needs.
Engagements: not all inclusive shown below)
• Credit Score (prime) In-Database Scoring initiative for Bank of America
• Credit Fraud /AML Fraud Scoring models for Citi Bank
• Portfolio Employee Demand Forecasting for major Bank of America Huntley Manhertz 813-***-****
ACADEMIC BACKGROUND
Doctor of Philosophy in Policy Studies Applied Economics to Academic Labor Markets Indiana University 2005 Master of Science in Economics Econometrics Indiana University 1992 Bachelor of Science in Agricultural Economics Agricultural Economics Purdue University 1991 DATA ANALYTIC EXPERIENCE
Technical Proficiencies: Open-source R, R-Shinny, Python, Pyspark, Databricks, Snowflake, SAS-Eminer, SAS- Enterprise guide, IBM SPSS, SQL, Tableau, SAS Visualization, QlikView, AZURE ML Studio, DataRobot. Proficient in:
Quantitative ML Models: Time series forecasting (Global modeling, Hierarchical, iterative models), Multiple Regression, Discriminate Analytics, Decision Tree (CRT, CHAID), Marketing Mix, Logistic Regressions, Cluster and other segmentation analytics, propensity matching modeling. Data Expertise: ERP Transactional Data, Financial Services Transactional Data, Retail transactional POS data, Shipment data, IRI Panel, IRI Scanner Data, ACNeilsen, Retail Link –Walmart data, Costco Liquid Data, ACNeilsen Panel, ACNeilsen Media, Axiom Databases, Scarborough databases, Spectra Demographic, Experian Demographic Data, Frequent Shopper Data for selected retailers. References available upon request.
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