Kurt Newman Email & Phone Number

Atlanta, GA, US

Littleton, Massachusetts, United States

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 processes to access the data, storing the data in efficient data structures, automated data quality monitoring, then analysis to obtain value from the data.

Charlotte, North Carolina, United States

• 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, expense, savings.
• Participants opened 45% of all recent loan accounts within 30 days of accessing credit scores.
• For 15 consecutive months 99% of authenticated participants viewed educational material.
• 41% of participants viewed updated credit scores or credit reports during each of the most recent three consecutive months demonstrating interest in monitoring change. 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%.

New York, New York, United States

• Regulatory stress testing includes documenting economic shocks that could influence the institution's performance. The economic shocks have included severe recession, changes in interest rates, inflation, declines in.
• Process automation improved risk scenario characterization efficiency by 300% while reducing re-work by 80%.
• Supported models and documents for Internal Capital Adequacy Assessment Process (ICAAP) | Current Expected Credit Loss (CECL) | Comprehensive Capital Analysis and Review (CCAR) | Dodd-Frank Act Stress Test (DFAST)

Littleton, Massachusetts, United States

• Collaborated closely with organizations to understand unique requirements, evaluate existing data and infrastructure, then create custom solutions. Offered insights into best practices and industry standards for.
• One notable project involved redesigning supply chain management for an industrial parts company serving clients across seven states. Automated supply chain monitoring coupled with predictive models ensured the timely.
• This initiative resulted in a 35x improvement in operational efficiency with a substantial reduction in costs.

Columbus, Georgia Area

• Led the team of data engineers, data scientists, and business analysts in formulating a comprehensive data strategy and creating a new data environment including data sourcing, governance, and quality monitoring..
• 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.

Columbus GA

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

Charlotte, North Carolina Area

• 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.
• Produced publication quality manuscripts that explained optimizing 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.

Charlotte, North Carolina Area

• 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.
• 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.

Charlotte, North Carolina, United States

• 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.
• 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 use the processes and data 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.

Charlotte, North Carolina, United States

• 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 case management used 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%.

Doctor Of Philosophy (Phd), Molecular Genetics Gene Cloning And Characterization

Post Doc Research, Developed Original Statistical Algorithms For Gene Mapping

Master Of Science (Ms), Ion Exchange Physical Chemistry

Bachelor Of Science (Bs), Plant And Soil Science