Brian Carothers

Data Scientist at Big League Advantage
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Contact Information
us****@****om
(386) 825-5501
Location
US

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Experience

    • United States
    • Spectator Sports
    • 1 - 100 Employee
    • Data Scientist
      • May 2022 - Present

    • United States
    • Software Development
    • 100 - 200 Employee
    • Data Scientist
      • Jul 2021 - May 2022

    • Spectator Sports
    • 1 - 100 Employee
    • Lead Data Scientist
      • May 2018 - May 2022

      - Provide draft, free agency, and trade analytics in the form of visualizations, web tools and written analysis to NHL teams and player agents - Built a variety of LSTM models to incorporate players’ developmental growth and projected career trajectory into the model inputs, to more accurately project future player values and prospect success likelihoods - Developed web scrapers for over 50 different hockey leagues worldwide, normalized and merged the data into a central database, powering advanced prospect analytics and draft pick value modeling - Manage all back-end development and deployment, ensuring a continuously updated and available service to clients

    • United States
    • Business Consulting and Services
    • 500 - 600 Employee
    • Data Scientist Manager
      • Jul 2017 - May 2018

      - Led the development of a product to automate the processing of unstandardized forms using neural networks, OCR, image processing, and text parsing - Designed and implemented machine learning and natural language processing algorithms at a top 10 bank to improve efficiency and profitability of their commercial loan portfolio- Managed a multidisciplinary team that delivered a successful proof of concept application which developed into a full scale project- Demonstrated to executive leadership how data science can improve profitability and decision-making across different lines of business

    • Data Scientist Senior Consultant
      • Aug 2016 - Jul 2017

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Science Immersive
      • Apr 2016 - Jul 2016

      - Attended full time, 13-week immersive course on Data Science topics - Developed expertise in predictive modeling, supervised and unsupervised machine learning, natural language processing, data visualization, web scraping, and time series analysis - Explored statistical concepts including principal component analysis, linear discriminant analysis, Bayesian statistics, normalization, regularization, and A/B testing - Won a class-wide competition predicting where and when mosquitos carrying West Nile virus will be found in Chicago, which was featured on General Assembly’s website - Capstone project: developed a model to predict demand for Uber rides in New York City based on time and location using census, weather, and subway ridership data

    • United States
    • Construction
    • 100 - 200 Employee
    • Accounting Clerk
      • Jul 2014 - Apr 2016

      - Prepared and performed in-depth analysis on weekly and monthly job cost reports using Timberline to ensure projects were within budget - Processed 300-500 weekly invoices to ensure timely payments to maximize corporate discounts - Managed the company fleet of over 200 vehicles and reviewed fuel purchases to identify inconsistencies in reported mileage - Worked closely with 120 outside vendors and 50 subcontractors to maintain effective lines of communication and build strong working relationships - Managed AR accounts and identified subcontractor invoices eligible for payment - Reviewed teammate’s processes and identified errors leading to significant reduction of costs - Prepared and filed monthly Sales and Use Tax reports for DC, Maryland, and Virginia

    • United States
    • Food and Beverage Services
    • 1 - 100 Employee
    • Bartender, Barback
      • Sep 2008 - Apr 2011

Education

  • University of Maryland College Park
    Bachelor of Science (B.S.), Mathematics
    2008 - 2013
  • General Assembly
    Data Science Immersive
    2016 - 2016

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