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šŸ‘‹ Hi, Iā€™m Matthew Kolakowski About Me- As a Senior Quantitative Analytics Specialist at Wells Fargo, I leverage my 15+ years of experience in analytics, technical project management, and business process improvement to support deposit and trading balance forecasting models for regulatory compliance and strategic decision-making. I have a Master of Science in Health Analytics from Duke University, a Ph.D. in Business Administration and Management from Oklahoma State University, and a Project Management Professional (PMP) certification from the Project Management Institute.

I employ advanced machine learning techniques to evaluate the deposit and trading balance risk models and provide valuable insights to stakeholders. I also teach graduate-level analytics tools and programming courses at Trine University and Clemson University, where I share my passion and expertise in analytics. Additionally, I have authored multiple publications in peer-reviewed journals on topics such as employee well-being, e-learning, and leadership in healthcare. I am motivated by the opportunity to apply my analytical and technical skills to solve complex problems and create a positive impact.

šŸ“« How to reach me: You can reach me at [email protected] or https://www.linkedin.com/in/datascientistmk84

Matthew Kolakowski's Projects

django icon django

The Web framework for perfectionists with deadlines.

linkedin-learning-journey icon linkedin-learning-journey

Academic and industry articles focused on Time Series Analysis and Interpretable Machine Learning. Common Python packages such as Darts, PyCaret, Nixtla, Sktime, MAPIE, and PiML will be featured.

mba-8660 icon mba-8660

Clemson Fall 2023 Big Data Management Course

piml-toolbox icon piml-toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

ppi_py icon ppi_py

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

time-series-textbooks icon time-series-textbooks

Time Series Textbooks- This repository aims to provide a host of resources that cover the gamut of time series analysis.

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