Todd Edmonds

About Todd Edmonds

Data scientist with nearly 13 years of hands on experience in advanced analytics, machine learning and data mining and modeling. Excellent at providing thought leadership and insights gathering across multiple workflows and stakeholder relationships. Proven track record of executive level reporting to diverse, cross-functional, non-technical executive level business audiences. Highly proficient in insights gathering and recommendation finding using data-driven solutions for complex business problems. Expert at designing interactive dash-boards and visualization tools to enable self-service BI for business partners and end-users.

Experience

1. Analytic Consultant, Consumer and Small Business Banking

   Wells Fargo

   May 2021 — Present · Charlotte, NC, US

   Wells Fargo: Principal Analytics Consultant, Consumer Data and Engagement Platforms, Charlotte, NC May 2021 - Current Job Description: Strategy Consultant and Model Developer responsible for reporting processes for a data analytics environment in support of Consumer & Small Business Banking.Responsibilities & Achievements:• Building behavioral segmentation and multivariate regression models, factor analysis and design of experiments on customer data.• Creating customer-centric (i.e. “Customer 360”) business analysis and strategic insights within and across lines of business.• Building scalable customer and behavioral segmentation models and forecasting applications as decision support platforms.• Collaborates closely with business partners across the Consumer Small Business Banking LOB on data driven marketing initiatives.• Created a network graph visualization application in Python to model customer interaction points across payment channels.• Created a productionalized scoring model in SAS to simulate and predict customer attrition across different banking segments.Tools & Methodologies• Big Data Platforms: Teradata Vantage Enterprise Data Warehouse Environment, SAS Grid Computing Environment Power User• Text Mining/NLP Tools: PyCharm Python IDE, Anaconda Jupyter Lab, R-Studio Open-Source R IDE, SAS Enterprise Guide• Machine Learning/Data Science Tools: PyCharm Python, Anaconda Jupyter Lab, R-Studio for Open-Source R, SAS Enterprise Guide• Data Visualization Tools: Tableau Desktop 9.x, Microsoft Excel, Microsoft Power BI

Education

• Michigan State University - Eli Broad College of Business

  Master of Business Administration (M.B.A.), Finance

  2005 — 2007

• Michigan State University

  BS, Electrical Engineering

  1998 — 2001

Skills

• Data Visualization
• Data Discovery
• Sas Programming
• Association Rule Mining
• Survival Analysis
• Statistical Data Analysis
• Regression Analysis
• Machine Learning
• Hadoop
• Business Process Improvement
• Strategy
• Text Mining
• Market Research
• Customer –Product Recommender Systems
• Data Analysis
• Lifetime Value Modeling
• Sql Mapreduce
• Strategic Planning
• Apache Kafka
• Omni-Channel Cross-Channel Analytics
• Data Mining
• R
• Data Quality Engineering
• Financial Analysis
• Competitive Analysis
• Sas
• Kpi Dashboards
• Deep Learning
• Cross-Channel/Omni-Channel Analytics
• Project Management
• Decision Support
• Sentiment Analysis
• Exploratory Data Analysis
• Market Sizing/Audience Sizing for Marketing Campaigns
• Market Analysis
• Logistic Regression
• Oozie
• Market Basket Analysis
• Supervised Classification/Regression
• Business Intelligence