Summary
Overview
Work History
Education
Skills
Affiliations
Skills
Additional training and certifications
Timeline
Generic

KENNETH R. ADAMS

Newport,USA

Summary

Seasoned Data Scientist with a proven track record at Ally Bank, enhancing data-driven decision-making and process efficiency. Excelled in predictive modeling and strategic planning, significantly improving project outcomes. Skilled in leadership and relationship management, adept at fostering team growth and driving business analysis to new heights.

Overview

22
22
years of professional experience

Work History

Senior Analyst

Ally Bank
Detroit, MI
04.2024 - Current
  • Developed complex financial models for forecasting and budgeting purposes.
  • Prepared presentations on results of analysis for management team.
  • Analyzed data from various sources to identify trends and patterns within the Auto Dealer Profitability segment.

Senior Data Scientist (SAS & Python)

Optum, United Healthcare Group (UHG)
Minneapolis, USA
03.2022 - 06.2023
  • Utilize predictive modeling and Machine Learning methodologies to assist all lines of business, which have been integrated into JIM, with reduce call issues to zero with maximum efficiency
  • Perform call agent performance analysis, such as predicting call turnaround time and 'touches per issue' to determine how to reduce call issues to zero
  • Formally present executive dashboards to each line a business to gain their 'buy-in' and provide insight into how data science can extract information for them that would greatly enhance their current solutions and Key Performance Indicator (KPI) metrics
  • Attend agile Scrum calls for data integration discussions in adherence to process framework practices
  • Address topic modeling, and content analysis, on call agent narratives written which identify reasons for a client’s call, determine why the issue is being transitioned to another representative, and revealing potential issues with addressing the caller’s needs
  • Calculate Cost-Benefit Analysis for each line of business and formally present a CBA deck to them as we attempt to gain their 'buy-in' for how JIM will listen to, address, and bring resolution to their current issue management challenges
  • Work closely with team members within JIM and Optum Enterprise Issue Management (OEIM) to integrate issue volume into a JIM Snowflake Data Warehouse and to ensure proper data governance standard adherence
  • Establish a data science framework with JIM Reporting and Analytics including Github (repositories), Python (Testing, Staging, and Production), and R
  • Train and mentor junior team members through best practices techniques including coding standards, documentation, and efficiencies as well as proven methodologies

Financial Crimes AML Analytics/SAS & Python AML Analytic Consultant/Data Scientist

Wells Fargo & Company
Charlotte, USA
03.2014 - 02.2022
  • Perform text analysis, such as topic modeling, text similarity, predictive modeling, and content analysis, on unstructured data such as Anti-Money-Laundering (AML), Suspicious Activity Report (SAR) and Unusual Activity Report (UAR) Event Narratives written by Customer Relationship Managers, Financial Crimes Investigators, and other Wells Fargo team members
  • Conduct topic and trend analysis (Machine Learning) leveraging Python by using text analytics methodologies and packages including FuzzyWuzzy, K-Nearest Neighbor, and spaCy; in an effort to discern predictable terms and topics leading to crimes being committed and reported to the Financial Crimes Enforcement Network (FinCEN)
  • Use Latent Dirichlet Allocation, and other statistical methods, to develop stop word lists for elimination of irrelevant terms, or 'noise reduction,' in the topic modeling conducted
  • Leverage additional statistical methodologies for predictive modeling of structured data such as logistic regression
  • Perform data analysis using SQL, Excel, and SAS to mine data from the Financial Crimes Platform to assist our Financial Crimes investigators to reduce false positive (and false negatives) while enriching the reporting that we submit to FinCEN
  • Develop executive decks to present clear and succinct findings to leadership to assist them with key decisions regarding Bank Security Act (BSA) policies and procedures and reporting to FinCEN, DEA, and the FBI using Excel, SAS, and Tableau
  • Work in a specialized 'Big Data' framework consisting of Hadoop (HDFS), Hive (data platform), and Apache Spark (PySpark) to generate high-performance analyses within a stable and well-maintained environment
  • Conduct data migration using a 'data ingestion' tool to transfer data directly from Teradata (Production data warehouse) to Hive on the Advanced Analytics Lab and Big Data platforms for high-performance analyses
  • Engage in data analyses, content writing, and facilitation of discussion for creation of Business Requirements Documents for Internal Financial Crimes Analytics project (Phases 1, 2, etc.) and other projects requiring similar duties in 2016
  • Ensure traceability with the initial Project Definition Document (PDD)
  • Assist with creation of FSDs for each data requirement (Mortgage Inquiry, Time Tracker, etc.)
  • Research Use Case development to complement the BRD, specifically, to aid the individuals tasked with acquiring crucial data elements

SAS Analytic Consultant (Data Scientist) / Financial Crimes Risk Management: Model Risk Management

Wells Fargo & Company
Charlotte, USA
03.2014 - 02.2022
  • In adherence to Wells Fargo Model Risk Policy, conducted regular statistical model validations, annual, reviews, and re-validations
  • Helped model owners with model risk ranking and with remaining compliant with Model Risk Management and Corporate Model Risk (CMoR) policies
  • Executed in depth analytics on various data sets including production source data, training and development data, and model output data to guarantee that the data sources are accurate and that that statistical models are behaving reasonably and serving their intended purposes
  • Examined SAS code used to implement risk factors and rules from which, the models were based to generate effective alerts leading to SAR creation
  • Partnered with fellow team members in leading and support of model risk management activities including development of alternative statistical models intended to challenge existing models
  • Guided team members with SAS software and internal server access requests and requisite duties such as creation of 'drop box' environment to ensure independence while performing model risk management tasks

Senior Risk Manager / Mortgage Risk / SAS Analytic Consultant

Ally Bank
Charlotte, USA
11.2010 - 02.2014
  • Oversaw the statistical analysis and developed graphical detail, summarizing scorecards for upper-level management on a quarterly basis which, was used for balancing the risk and reward regarding the mortgage portfolio (FICO score, Debt-to-Income, Loan-to-Value (LTV), etc.)
  • Spearheaded detailed analytics and created automated quarterly decks for Market Grading used to assess the performance of real estate markets throughout the United States
  • Investigated quarterly Interest-Only to give an executive summary and provide more detailed information regarding payment shock risk, loan population changes since previous quarter, forward interest rate curve scenarios, and CMG mortgage product performance
  • Provided data and support for the monthly process that drove the Simplified Gazelle Model (SGM), a predictive model used to determine the likelihood that mortgage customers will go into foreclosure
  • Made changes to SAS code, import Interest Rate, and HPI Assumption data to update the model and maintain accuracy
  • Trained and supported junior team members regarding code standards, SAS/SQL/Web programming, and UNIX proficiency
  • Presented analysis regarding Basel II initiative with the primary focus on credit risk and asset categories

Senior Decision Support Consultant / Analysis and Corporate Research / SAS Analytic Consultant

Blue Cross Blue Shield of North Carolina
Chapel Hill, USA
10.2008 - 11.2010
  • Assisted business partners such as Actuary and Underwriting, Network Management, and Sales with claims investigation and research by developing ad hoc reports using SQL (Teradata), SAS and Business Objects
  • Managed intensive analysis using data mining techniques and SAS Enterprise Miner to convey
  • Developed high-end graphics for medical expense reporting and executive presentations using SAS/GRAPH
  • The graphs specifically display regional and US information and BCBSNC regional information using mapping graphics
  • Established and provided content for the Analysis and Corporate Research intranet web site devoted to monthly and quarterly production reports, query efficiency, coding standards, and information regarding meetings and other news

Business Intelligence Manager, Marketing Services

National Geographic Society
Washington, USA
04.2006 - 10.2008
  • Assisted NGS Marketing Services with promotional/campaign tracking for Magazines, Books, Video, and Expeditions divisions by developing ad hoc reports using SQL, SAS and Business Objects
  • Interface weekly with marketing managers to discuss their current and future reporting needs, deliver reporting application prototypes, and generate dialogue with suggestions and feedback
  • Developed a web-based OLAP reporting solution using Dreamweaver software and SAS Output Delivery System (ODS) to enable NGS Marketing to perform their own ad hoc reports and analysis of data
  • Create demographic profiles of current NGS customers for NGS Marketing
  • Generate a quarterly penetration report to determine the success of campaigns for the Magazines, Books, Video, and Expeditions divisions in certain regions both domestically and in foreign countries
  • Developed more efficient programming standards in SAS and SQL for the team to utilize

VP, Consumer Credit Risk Officer II, Consumer Real Estate/Consumer Risk Solutions

Bank of America
Charlotte, USA
12.2002 - 03.2006
  • Perform data analysis for Six Sigma Greenbelt projects and JDI’s ('Just Do It' requests)
  • Design presentations based upon analyses performed using SAS, Excel charts/pivot tables, Business Objects, Hyperion Analyzer/Essbase, etc
  • Attend meetings with Fleet and BAC associates to develop ideal credit risk policy from 'best of both worlds' analyses while balancing the risk and reward for the bank
  • Design scoring models for finance (i.e., net annualized loss assumptions, forecasting, etc.) using logistic regression (SAS proc logistics) and Xeno modeling software
  • Perform project management duties including writing scope assessments (Business Requirements Documents) for prototype applications, coordinating weekly meetings, and presenting demos upon completion of each phase of development
  • Create advanced SQL queries to compile data from Oracle, SAS, Teradata and DB2 data warehouses
  • Interface with business partners to generate project work and create an environment of teamwork and genuine cohesiveness for the good of the organization

Education

Doctor of Education (EdD) - Doctoral dissertation research using logistic regression analysis entitled, The Impact of Perceptual, Economic, and Demographic variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data.

North Carolina State University
Raleigh, NC
12.2016

Master of Science in Engineering Management (MS) -

George Washington University
Washington, DC
05.2000

Bachelor of Science in Computer Science (BS) -

Campbell University
Bules Creek, NC
05.1995

Skills

  • Data Scientist
  • Process Improvement
  • Project Management
  • Technical Support
  • Efficiency Improvement Strategies
  • Strategic Planning
  • Relationship Management
  • Leadership
  • Team Building
  • Business Analysis
  • Financial Modeling
  • Analytics software
  • Knowledge of business operations
  • Analytics program experience
  • Performance monitoring
  • Technical understanding
  • Advanced Excel
  • Statistical modeling
  • Software Design
  • Cloud-based technologies (Snowflake)
  • Python Programming
  • Machine Learning

Affiliations

  • DC SAS Users Group (DCSUG)
  • Research Triangle SAS User Group (RTSUG)
  • Wells Fargo Toastmasters

Skills

Machine Learning Certification, Cornell University, Python, R, Java, C, SQL, Transact SQL, Smalltalk (ParcPlace), JavaScript, SAS, Big Data (Hadoop), Windows, Linux, UNIX (Sun Solaris and HP), MVS, Snowflake (MS Azure), Hive, Oracle, SQL Server, DB2, Teradata, Netezza, Unified Software Development Process, JDBC, Java Server Pages (JSP), MS Excel, Business Objects, Web Intelligence, Base SAS (Versions 6, 8, 9), SAS Macro, AppDev Studio/WebAF, SAS INtrnet, SAS MDDB/OLAP, SAS Enterprise Guide, SAS Enterprise Miner, R, SPSS, Python, Spark/PySpark, Big Data

Additional training and certifications

  • Security Clearance
  • Graduate of SAS Application Bootcamp Program
  • Java Programming & Java Application Development Courses, George Washington University as part of the Web Development Certification Program.
  • Python Course Certification, University of California Berkley.

Timeline

Senior Analyst

Ally Bank
04.2024 - Current

Senior Data Scientist (SAS & Python)

Optum, United Healthcare Group (UHG)
03.2022 - 06.2023

Financial Crimes AML Analytics/SAS & Python AML Analytic Consultant/Data Scientist

Wells Fargo & Company
03.2014 - 02.2022

SAS Analytic Consultant (Data Scientist) / Financial Crimes Risk Management: Model Risk Management

Wells Fargo & Company
03.2014 - 02.2022

Senior Risk Manager / Mortgage Risk / SAS Analytic Consultant

Ally Bank
11.2010 - 02.2014

Senior Decision Support Consultant / Analysis and Corporate Research / SAS Analytic Consultant

Blue Cross Blue Shield of North Carolina
10.2008 - 11.2010

Business Intelligence Manager, Marketing Services

National Geographic Society
04.2006 - 10.2008

VP, Consumer Credit Risk Officer II, Consumer Real Estate/Consumer Risk Solutions

Bank of America
12.2002 - 03.2006

Doctor of Education (EdD) - Doctoral dissertation research using logistic regression analysis entitled, The Impact of Perceptual, Economic, and Demographic variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data.

North Carolina State University

Master of Science in Engineering Management (MS) -

George Washington University

Bachelor of Science in Computer Science (BS) -

Campbell University

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KENNETH R. ADAMS