Data Science Leader

Kurt D. Newman

Fortson, Georgia 704-***-**** ****.*.******@*****.*** linkedin.com/in/kurtnewman01/

SENIOR LEVEL DATA SCIENCE LEADER

Quantitative Analysis Data Management

Demonstrated expertise in formulating and implementing information strategies to enable data-driven cross-functional decision-making. Proven leadership building/ optimizing data environments, data quality monitoring, data governance, and developing predictive models to achieve business objectives. My leadership style of mentoring/teaching has created environments that encourage innovation and continuous learning within teams that have consistently delivered business value. Fifty-three patents granted demonstrate innovation.

AREAS OF EXPERTISE

Cross Functional Team Leadership Project Management Business Intelligence Analytics Data Sourcing Data Quality Monitoring Data Governance Data Visualization Risk Management Regulatory Compliance Generative AI Python, R, SAS, SQL, VBA MARS, Regression, Random Forest, Neural Net, Clustering, Natural Language Processing

PROFESSIONAL EXPERIENCE

Info R&D, Littleton, Massachusetts January 2024 - current

Principal Managing Partner

Info R&D is a freelance data science consulting company where we use generative AI to increase operational efficiency. Most of the work includes identifying new data sources, automating access the data, storing the data in efficient data structures, automated data quality monitoring, then analysis or model development to obtain value from the data.

Wells Fargo, Charlotte, North Carolina July 2022 – January 2024

Financial Health Data Provisioning, Analytics, and Actionable Insight Generation

Cross-functional collaboration supporting customers working to enhance their financial status by offering suggestions to improve credit scores as well as optimizing their management of income, expenses, savings, investments, and debt.

Participants opened 45% of all recent loan accounts within 30 days of accessing credit scores.

For 15 consecutive months, 99% of authenticated participants viewed the educational material.

41% of participants viewed credit reports each month, and the average monthly attrition rate was 1.3%.

Developed and implemented the overall data strategy and governance including data transformation, data quality monitoring, and automated reporting. Improved data access efficiency 1,000%.

Citi, New York, New York October 2021 - July 2022

Economic Stress Scenario Development and Execution

Regulatory stress testing includes documenting economic shocks that could influence the institution's performance. Economic shocks include severe recessions, changes in interest rates, inflation, declines in the equity market, deterioration in credit markets, foreign exchange fluctuations, and climate change concerns.

Process automation improved risk scenario characterization efficiency by 300% while reducing re-work by 80%.

Supported models and documents for the Internal Capital Adequacy Assessment Process (ICAAP) Current Expected Credit Loss (CECL) Comprehensive Capital Analysis and Review (CCAR) Dodd-Frank Act Stress Test (DFAST)

Info R&D, Littleton, Massachusetts July 2020 - October 2021

Principal Managing Partner

Collaborated closely with organizations to collect unique requirements, evaluate existing data and infrastructure, and create custom solutions. Offered insights into best practices and industry standards for extracting value from data, streamlining processes, and leveraging data-driven decisions for business advancement.

One notable project involved redesigning supply chain management for an industrial part company that serves clients across seven states. Automated supply chain monitoring coupled with predictive models ensured timely ordering of the correct quantity of items while maintaining consistent in-stock status.

This initiative resulted in a 35x improvement in operational efficiency with a substantial reduction in costs.

Kurt D. Newman ****.*.******@*****.*** Page 2

ADP, Roseland, New Jersey May 2017 - July 2020

Senior Director, Product Management Data Science

Led a team of data engineers, data scientists, and business analysts in developing a comprehensive data strategy and creating a new data environment, including data sourcing, governance, and quality monitoring. Automated processes were created and used to generate, validate, and distribute numerous high-quality data products.

Automated AWS processes increased productivity 40x, supporting $100MM annual data sales.

Trained associates to develop models predicting employment trends by industry and location with 87% accuracy.

Increased data sales 12% by creating white papers with employment trends and multiple use cases.

Illustrated how COVID-19 influenced employment by industry and location using quantitative analysis.

Synovus, Columbus, Georgia March 2014 - May 2017

Senior Director, Business Intelligence Data Strategy and Quantitative Analytics

Led the team of data engineers, data scientists, data architects, and BI developers in creating a new data/analytic environment with interactive data visualization. Worked with all levels of management to ensure extensive adoption.

The environment is used for 90% of marketing campaigns as well as most financial modeling and reporting.

Trained associates to develop regulatory, risk, and marketing models with automated and standardized processes improving efficiency 60%.

Data sourcing, governance, and data quality monitoring to ensure completeness, accuracy and timely delivery.

Bank of America, Charlotte, North Carolina March 2012 – March 2014

Director, Quantitative Finance Enterprise Capital Management

Developed Basel III regulatory models for qualified revolving exposure (Credit Card) exceeding $100 billion in risk-weighted assets. All regulatory reviews were completed within the initial timeline without follow-up actions.

Produced formal documents for probability of default, exposure at default, and loss given default models.

Process automation increased efficiency 30% allowing examination of diverse modeling methods and data sources.

Incorporated non-linear modeling tools to improve model accuracy.

Bank of America, Charlotte, North Carolina October 2010 - March 2012

Senior Vice President, Innovation and Research Predictive Model Performance

Improved performance of predictive models for all consumer products (card, checking, payments, savings, consumer finance), all channels (customer service / retention call centers, banking center, e-commerce, direct mail), and all business objectives (credit risk, retention, cross sell, profitability, collections).

Enhanced modeling infrastructure to use 30 terabytes of transaction data and non-linear machine learning.

Automated model development processes reduced processing time 90% and dramatically increased productivity.

Bank of America, Charlotte, North Carolina October 2007 - March 2010

Senior Vice President, Proprietary Quantitative Analytics and Innovation

Interacted with all levels of management to identify innovative opportunities for business enhancement, new or enhanced products, and sources of revenue. Developed intellectual capital and multiple initiatives with substantial business value.

Developed business cases and requirements to create databases with more than 45 billion consumer transactions.

Predictive modeling and business analysis for all consumer bank products, channels and business strategies.

Prototype implementations using additional data and automated processes demonstrated incremental value.

Trained model developers to substantially improve models for numerous retail bank applications.

Established relationships with external companies to implement new concepts, including an ATM machine with iris biometric capability that recognized customers without using cards, devices, or anything the customer carried. The same technology was used for biometric building security where access gates automatically opened as employees approached the portal.

Kurt D. Newman ****.*.******@*****.*** Page 3

Bank of America, Charlotte, North Carolina February 2005 – October 2007

Senior Vice President, E-Commerce Fraud Detection and Prevention

Developed, implemented, and managed consumer online fraud detection/prevention strategies.

Short-term strategies optimized existing data, technology, processes, and personnel. Goal state risk mitigation:

Developed fraud detection algorithms and a business case supporting real-time fraud detection.

Developed requirements and managed implementation of real-time fraud detection technology to identify moderate-risk transactions, stop high-risk transactions, and conduct case management to verify account activity.

Created staffing plans then hired and managed analytical, technical, and operational associates.

Fraudulent transaction detection increased 400% and dollar loss rate decreased 50%.

EDUCATION

Research producing original statistical algorithms for gene mapping

Brookhaven National Laboratory

Doctor of Philosophy (Ph.D.) in Molecular Genetics Gene Cloning and Characterization

Ohio State University

Master of Science (MS) in Ion Exchange Chemical Physics

University of Georgia

Bachelor of Science (BS) in Plant and Soil Science

Purdue University

Contact this candidate