Nathaniel Wolanyk

About Nathaniel Wolanyk

Fellow at Insight Data Science with a PhD in Physics from University of Alabama at Birmingham and previously spent 2+ at NIH as an in-house bioinformatics consultant. 3+ years coding in R and Python doing Network Analysis, Classification, Clustering, Regression, Dimensional Reduction, Visualization, Custom Metric Creation, and Time Series Analysis.Driven by interpretation of messy data, communicating findings in a meaningful concise fashion, and challenging open-ended problems.

Experience

1. Senior Data Science Manager - Consumer

   Regions Bank

   Jan 2022 — Present

   Produced annual revenue exceeding 50 million dollars through managing four different AGILE-trained teams and guiding strategic partnership with business units to create AI-driven data products, which guide customer relationships- Established standardized data and production processes, increasing speed to market, decreasing technical debt, and increasing unit test coverage to over 90 percent- Exploring RAG-backed LLM-powered chatbot to communicate to key stakeholders what is Regions\' standing compared to competitors in the news, reviews, complaints and earnings statements- Guided full stack integration of data and AI pipelines in CI/CD process, including deep learning, as well as third party tool selection and integration- Enhanced speed and streamlined regulatory processes through pre-approvals and focused central data storage, drastically speeding time to market while minimizing risk and minimizing documentation overhead- Drastically raised team\'s morale and engagement through associating feedback and factoring in interests and passions to improve the whole team\'s dynamics and approaches to product without affecting product timelines- Led adoption of AGILE methodology: leading sprints, mentoring the team, and training and empowering associates to make their own tickets and do feature prioritization- Refined department wide revenue and incremental revenue calculations further optimizing product decisioning for over 6 million customers- Rebuilt partnership with core business groups in conjunction with Data Product Partners from the ground up to align more with overall strategy, focusing on balance between business asks, transformative projects, and back-end technical improvements.

Education

• Illinois Wesleyan University

  Bachelor's degree, Physics and Computer Science

  2008 — 2012

• University of Alabama at Birmingham

  Doctor of Philosophy (Ph.D.), Physics

  2012 — 2016

Skills

• Data Scientists
• R
• Git
• Microsoft Office
• Web Scraping
• Sql
• Linux
• Matlab
• Nltk
• Temporal Flux Modulation
• Exploratory Data Analysis
• Pandas
• Data Classification
• Javascript
• Statistical Data Analysis
• Python
• Dynamic Modeling
• Coding Languages
• Natural Language Processing
• C
• Binary
• Chrome Extensions
• Principal Component Analysis
• Biostatistics
• Regression Models
• Clustering
• Neural Networks
• Network Modeling
• Computational Physics
• Scikit-Learn
• Flask
• Machine Learning