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Data Science Machine Learning

Location:
St. Augustine, FL
Posted:
May 06, 2025

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Resume:

Loren Marti

St. Augustine, FL ***** • (***) ***-*74 • ************@*****.***

Predictive Analytics Hands-on Data Science Marketing Analytics

SUMMARY

Results-driven analytics leader with over 20 years of experience in predictive modeling and data science. Proven track record of identifying data-driven opportunities and developing innovative solutions that have driven business growth by millions of dollars. Successfully built and scaled three high-performing analytics teams from the ground up. Expertise in SAS, Python, SQL, Tableau, advanced machine learning techniques, and AI. Led cross functional teams to deliver high-impact insights, resulting in 40% improvement in key performance metrics. Patented innovations demonstrate commitment to pushing boundaries in analytics methodologies. Seeking to leverage my hands-on experience and team-building capabilities to drive data-driven decision making and business growth in a dynamic organization.

EXPERIENCE

FOUNDER

ANALYTICS THAT WORK LLC ST. AUGUSTINE, FL

07/2023 - PRESENT

Provide part-time analytic consulting and analytic system design.

Automated model generation and model scoring for forecasting and model attribution models.

AI driven stock screening, buy and sell orders, and trading performance measurement.

CHIEF DATA SCIENTIST

PREVEDERE JACKSONVILLE FLORIDA AREA

03/2019 - 05/2024

Responsible for Analytics, Innovation, R&D, Model Building Methods, Product / Software Improvement, and Data across a team of 6 members.

Recruited to optimize Prevedere's analytics system by streamlining regression model development processes, enhancing process efficiency, and delivering practical solutions tailored for real-world analytical challenges.

Invented, coded (SAS then Python), and tested a proprietary, data-driven model scoring system (now patented) that captured economist intelligence, enabling inexperienced analysts to become expert model builders rapidly.

Promoted to Chief Data Scientist within a year; tasked with building an analytics R&D team.

Provided model building mentorship and training for a team of 12 economists/model builders; served as a model quality check across multiple industries (CPG, Insurance, Retail, Manufacturing).

Revamped and standardized modeling processes (MMM, Trade Promotion, Pricing, external factor modeling), improving model quality by 16% and reducing time per model by 10%.

Designed and implemented next-generation AI and Machine Learning algorithms, achieving a 40% improvement in prediction accuracy and reducing man-hours by over 50%.

Designed and implemented a model health system predicting model life expectancy and measuring ongoing health, enabling precise targeting of problem models.

Served as the company's subject-matter expert in forecasting during client engagements.

Primary technical skills utilized: SAS, Python, Linear Regression, Ridge Regression, Univariate forecasting, Control Charts, Price Elasticity Modeling, Volume Decomposition, ML, Genetic Algorithms.

SUBJECT-MATTER EXPERT

ANDROMEDA SYSTEMS INCORPORATED ORANGE PARK, FL

10/2018 - 03/2019

Executed contract part-time Data Science project focused on aircraft maintenance optimization.

Redesigned a failed optimization project by creating a Python-based custom Genetic Algorithm to optimize aircraft maintenance scheduling.

Primary technical skills utilized: Python, Genetic Algorithms.

SR. DIRECTOR OF ADVANCED & PREDICTIVE ANALYTICS

ACOSTA JACKSONVILLE, FLORIDA

01/2016 - 01/2019

Initially hired as the sole analytics point of contact for Acosta's Walmart-focused sales office.

Designed and built a regression-based analytics system (SAS then Python) for event-level measurement across 4k+ stores and tens of thousands of UPCs, achieving $800k annual savings by insourcing analytics.

Promoted and relocated to corporate HQ to lead the Jacksonville analytics team, staffing 2 data scientists and a contractor to productionize the Walmart team system.

Led team coding system with tens of thousands of models, leveraged daily, producing automated, actionable client-facing PowerPoints weekly.

Performed ad hoc A/B testing on the impact of Acosta store coverage using SAS and APT.

Provided guidance on best practices for displaying regression model insights via Tableau and Power BI.

Primary technical skills utilized: SAS, Python, Linear Regression, Price Elasticity Modeling, Volume Decomposition, Machine Learning, ANOVA, ANCOVA, Logistic Regression.

DIRECTOR OF STATISTICAL FORECASTING & CUSTOMER ANALYTICS

CONAGRA FOODS BENTONVILLE, AR

01/2012 - 01/2016

Recruited by Conagra after serving as their embedded IRI analytics point of contact.

Developed advanced analytics tools for the Conagra Walmart team (Shopper Marketing, Retail Sales, Category Management, Forecasting).

Built an Excel-based forecasting/analysis tool leveraging SAS-generated store-level regression models, providing forecasts, scenario planning, due-to analysis, and consumer insights; later expanded model team.

Tasked to replicate successful function for corporate HQ in Omaha.

Performed ad hoc A/B testing for category management using SAS.

Primary technical skills utilized: SAS, Linear Regression, Price Elasticity Modeling, Forecasting, Price / Promo Modeling, Volume Decomposition, Machine Learning, ANOVA, ANCOVA, Logistic Regression, Clustering.

DIRECTOR OF MODELING AND ANALYTIC SOLUTIONS

IRI BENTONVILLE, AR

02/2010 - 01/2012

Embedded with the Conagra Walmart team as an analytics consultant.

Maintained two dozen PPG level forecast models and modeled ROI for Conagra's shopper marketing events using SAS.

Co-developed an automated MMM system incorporating multiple data sources into store-level regression models for marketing, shopper marketing, and sales forecasting.

Primary technical skills utilized: SAS, Linear Regression, Price Elasticity Modeling, Forecasting, Price / Promo Modeling, Volume Decomposition, Machine Learning, ANOVA, ANCOVA, Logistic Regression.

SENIOR CONSULTANT

HENRY RAK CONSULTING PARTNERS REMOTE

09/2006 - 02/2010

Collaborated with senior management at Fortune 500 companies on go-to-market strategies.

Leveraged Market Structures, Competitive Frames, and Customer/Product/Usage Segmentation to understand competitive landscape and identify new business opportunities.

Performed 'Integrated Business Reviews' including due-to analysis of historical sales using SAS.

Provided marketing spend optimization recommendations.

Promoted to Sr. Consultant in under a year.

Primary technical skills utilized: Clustering, Correspondence Mapping, Multidimensional Scaling, Market Structures (Hendry), Factor Analysis, SAS, SPSS, Linear Regression, Price / Promo Modeling, Volume Decomposition.

MANAGER OF WAL-MART MARKET RESEARCH

KELLOGG COMPANY BATTLE CREEK, MI / ROGERS, AR

09/2002 - 09/2006

Built and leveraged CRM and MMM regression models to improve forecasting and performance across 3 business units; responded to end-user model questions.

Increased profit by $14 million while reducing trade spend by $20 million via development of an optimal promoted pricing algorithm.

Identified SNAP shopper insights through regression analysis, generating an additional $2 million in annual sales.

Observed and analyzed results from focus groups and in-store observational studies.

Trained and mentored one direct report analytics manager.

Primary technical skills utilized: SAS, Linear Regression, Price Elasticity Modeling, Forecasting, Price / Promo Modeling, Volume Decomposition, Machine Learning, Pricing Optimization, Clustering.

DECISION SUPPORT ANALYST

NEW HANOVER HEALTH NETWORK WILMINGTON, NC

01/2002 - 09/2002

Performed conjoint analysis of employee benefits (Sawtooth Software) to determine cost-effectiveness.

Created numerous databases, reports, and dashboards for patient data, budgeting, and cost estimation.

MECHANICAL ENGINEER

CORNING INCORPORATED WILMINGTON, NC

12/1999 - 01/2002

Mechanical Design of fiber optic manufacturing machinery.

Development of technical manuals.

MACHINE DESIGNER

WILMINGTON MACHINERY WILMINGTON, NC

06/1997 - 12/1999

Mechanical and Hydraulic design of injection molding machinery.

Promoted from Draftsman to Machine Designer to Manager of the Service & Development Dept. in just over two years.

A-6E POWER PLANT MECHANIC / PLANE CAPTAIN

UNITED STATES MARINE CORPS CHERRY POINT, NC / IWAKUNI, JAPAN

06/1988 - 01/1993

Maintenance and repairs on A-6E aircraft jet engine and fuel systems.

EDUCATION

MASTER OF BUSINESS ADMINISTRATION (MBA)

UNIVERSITY OF NORTH CAROLINA AT WILMINGTON (2002)

BACHELOR OF SCIENCE (BS) IN BUSINESS ADMINISTRATION

UNIVERSITY OF MOUNT OLIVE (2000)

ASSOCIATE OF APPLIED SCIENCE (AAS) IN MECHANICAL ENGINEERING TECHNOLOGY

CENTRAL PIEDMONT COMMUNITY COLLEGE (1997)

SKILLS

TECHNICAL SKILLS:

SAS, Python, SQL, SQL Server, R, Power BI, Tableau, GA4, Google Analytics, Genetic Algorithm

ANALYTICAL TECHNIQUES & METHODOLOGIES:

Predictive Analytics, Machine Learning (ML), AI, Data Science, Forecasting, Market Mix Modeling (MMM), Price Elasticity Modeling, Volume Decomposition, Customer Analytics, Pricing Optimization, Market Structures Analysis, Clustering, A/B Testing, CRM Analytics, Statistical Analysis, Linear Regression, Ridge Regression, Logistic Regression, ANOVA, ANCOVA, Genetic Algorithms, Univariate Forecasting, Control Charts, Factor Analysis, Correspondence Mapping, Multidimensional Scaling

BUSINESS DOMAINS:

Consumer Packaged Goods (CPG), Retail Analytics (Walmart), Insurance, Manufacturing, Marketing Analytics, Market Research, Aircraft Maintenance Optimization

LEADERSHIP & MANAGEMENT:

Team Building, Team Leadership, People Management, Analytics Automation Strategy

TRAINING / COURSES

Advanced Python for Data Science with Pandas, NumPy, and Matplotlib

Burke Institute: Practical Multivariate Analysis

SAS Programming I, II, & III

SAS Macro Language

Mixed Model Analysis Using the SAS System

Optimizing SAS Programs

SAS AF: Application Development

SAS DI Studio Fast Track

Introduction to Generative AI Learning Path by Google Cloud

Introduction to Generative AI

Introduction to Large Language Models



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