Machine Learning Data Science
Resume:
Huntley G. Manhertz, Ph.D.
***** ********* **** ***** • Riverview, FL 33579
*******@******.***
www.linkedin.com/in/huntleymanhertz
PROFESSIONAL SUMMARY
Deep expertise in developing and deploying enterprise analytic solutions across decision-based optimization, and predictive model applications. Proven ability to leverage machine learning, generative AI, and business, intelligence tools to drive operational efficiency, enhance customer/member experiences, and optimize financial risk models.
Extensive experience in the following areas:
Enterprise Data & Analytics Strategy Fraud Predictions Geospatial Analytics Team Leadership & Coaching Predictive-Maintenance Modeling Analytic Prod. Implementations IoT Data Integration & Feature Engineering IoT Feature Engineering Process Mining Analytics Attribution Modeling Forecasting & ML Algorithms NLP Analytics-Knowledge graph PROFESSIONAL EXPERIENCE
BayCare Physician Partners
Senior Manager Data Science, St Petersburg, FL 2024-2025 Responsibilities include leading all data science initiatives for the PHSO and BayCare clients and developing new innovative machine learning applications to support value base care initiatives and shared savings operations.
• Spearheaded an enterprise data transformation strategy to unify siloed EMR and Claims datasets, designing a Snowflake-based data lake and governance framework that cut time-to-insight and aligned analytics initiatives across six health plans.
• Developed and implemented HEDIS compliance models to support STAR rating initiatives for the health-plan.
• Built an LLM customer service model to support call volume challenges and low-level conflict resolution calls.
• Built and patient level prediabetic predictive models and AIC transition risk segmentations to proactively identify patients at risk for diabetes and their propensity to elevate to higher risk segments.
• Built POC Agents combining LLM models with SQL databases and ML probabilities to allow clinicians to query patient specific case information to support patient care case management initiatives.
• Develop strategic roadmaps for improving data science capabilities for the PHSO.
• Manage a team of 5 covering BI reporting and predictive model capabilities. HCL Technologies
Senior Data Scientist, Tampa, FL 2020-2023
Responsibilities include the development and execution of enterprise-wide predictive analytical solutions for healthcare and oil & energy clients.
• Develop end to end enterprise-wide forecasting analytics process to manage DSC inventory shrinkage and labor demand projections for a Global Pharmaceutical manufacturer.
• Conducted price elasticity analysis to optimize pricing strategies resulting in a 10% increase in sales volume and $12.5 million in additional revenue for the USA retailer.
• Implemented fraud-prediction analytics on smart-meter consumption data using LightGBM classifiers, detecting non-technical losses
Huntley Manhertz 813-***-****
• Engineered predictive-maintenance models (LSTM & anomaly detection) on SCADA and sensor streams, forecasting transformer and substation failures to reduce unplanned outages form major Canadian energy Company
PSCU - Credit Union Payment Processor
Principal Data Scientist, St. Petersburg, Fl 2017-2020 Responsibilities include the development and execution of predictive analytic solutions for credit union clients.
• Develop risk assessment models using machine learning algorithms for credit card products resulting in a 7% reduction in underwriting errors and improved underwriting profitability.
• Utilize claim data to build unsupervised and supervised fraud detection models to identify suspicious patterns reducing frauded claims by 12% and saving $400,000 annually.
• Built customer churn prediction models enabling proactive retention strategies and reducing policy laps by 15% resulting in a $982,000 in retain premiums. Health Systems (An Insurance Service Provider for major carriers) AVP - BI & 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 and BI reporting capabilities from proof of concepts to production.
• 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 Major Top 5 USA Bank
• Lead statistician for producing credit assessment models and scoring algorithms for database scoring of their customers.
• Managed client Infrastructure, line of business and SAS teams review current processes and supply recommendation on new process development schemas.
• Recommended senior leadership on various approaches to efficiently manage their customer database from a customer credit scoring perspective. Credit Fraud /AML Fraud Scoring models for Major Top 5 USA Bank
• Developed “Intent to Default” scores based on credit attributed bank behavior and bank attribute data.
• Refitted existing AML models to ease “Auto Close” accounts production processes for Latin American and Caribbean accounts.
• Recommended senior leadership on various approaches to improve data ETL processes via third party integration databases.
Huntley Manhertz 813-***-****
Portfolio Employee Demand Forecasting for major Top 5 USA Bank
• Solidified $120K in analytic revenue.
• Team Leader for loan modification research initiative.
• Developed demand forecasting models that forecast future population inflows of loan modification customers.
• Developed time series models to decide future demand populations of customer inflows to 10 unique loan modification channels.
• Models to allow client senior leadership to decide how to staff CRM resources based on forecast projections.
Agency Segmentation for Commercial Lines for Major Insurance Agency
• Solidified $180K in analytic revenue.
• Analytic Team leads for agency segmentation initiative.
• Developed performance driven segmentation strategy to decide best in class commercial line agents, products and markets to facilitate an 8-year 20% growth strategy.
• Designed, created and executed in-depth interviews, focus groups and online surveys to capture attitudinal fact base intelligence.
• Developed predictive segmentation models to develop tactical segment groups for the organization to use to support their 20% growth strategy in CL.
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 Major Top 5 USA Bank
• Lead statistician for producing credit assessment models and scoring algorithms for database scoring of their customers.
• Managed client Infrastructure, line of business and SAS teams review current processes and supply recommendation on new process development schemas.
• Recommended senior leadership on various approaches to efficiently manage their customer database from a customer credit scoring perspective.
Credit Fraud /AML Fraud Scoring models for Major Top 5 USA Bank
• Developed “Intent to Default” scores based on credit attributed bank behavior and bank attribute data.
• Refitted existing AML models to ease “Auto Close” accounts production processes for Latin American and Caribbean accounts.
• Recommended senior leadership on various approaches to improve data ETL processes via third party integration databases.
Portfolio Employee Demand Forecasting for major Top 5 USA Bank
• Solidified $120K in analytic revenue.
• Team Leader for loan modification research initiative.
• Developed demand forecasting models that forecast future population inflows of loan modification customers.
• Developed series models to decide future demand populations of customer inflows to 10 unique loan modification channels.
Huntley Manhertz 813-***-****
• Models to allow client senior leadership to decide how to staff CRM resources based on forecast projections.
Agency Segmentation for Commercial Lines for Major Insurance Agency
• Solidified $180K in analytic revenue.
• Analytic Team leads for agency segmentation initiative.
• Developed performance driven segmentation strategy to decide best in class commercial line agents, products and markets to facilitate an 8-year 20% growth strategy.
• Designed, created and executed in-depth interviews, focus groups and online surveys to capture attitudinal fact base intelligence.
• Developed predictive segmentation models to develop tactical segment groups for the organization to use to support their 20% growth strategy in CL.
Other Experiences
Goldman Sachs – Geoscape - Sr. Consultant 2006-2010 HSN – Audience Analytics Insights Manager 2003-2005 PepsiCo (Tropicana Brand) – QTG Sales - Retail Insights manager 1999-2003 ACADEMIC BACKGROUND
PHD: Applied Economics to Labor Markets Indiana University 2005 MSc : Econometrics Oklahoma State University 1992 BSc : Agricultural Economics Purdue University 1991 DATA ANALYTIC EXPERIENCE
Technologies: RAG Applications: LangChain, Agent Applications: LangGraph, NER, Bert, Open-source R, R- Shinny, Python, DataRobot, SAS-Eminer, SAS-Enterprise guide, IBM SPSS, SQL, AWS Redshift, AWS Bedrock Snowflake, Snowpark, Databricks, AZURE ML Studio.
Model Proficiencies: Forecasting (Global modeling, Hierarchical, Iterative models), Multiple Regression, Tree Models (CRT, CHAID, XGBoost, Random Forest), Classification Models (Unsupervised and supervised), Gen AI/LLM models, Copilot solutions, Multi Agent solutions. 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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