Brian Carothers
Data Scientist at Big League Advantage- Claim this Profile
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Bio
Experience
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Big League Advantage
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United States
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Spectator Sports
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1 - 100 Employee
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Data Scientist
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May 2022 - Present
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Movista
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United States
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Software Development
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100 - 200 Employee
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Data Scientist
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Jul 2021 - May 2022
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Analystics Hockey Data Science
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Spectator Sports
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1 - 100 Employee
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Lead Data Scientist
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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
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MorganFranklin Consulting
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United States
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Business Consulting and Services
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500 - 600 Employee
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Data Scientist Manager
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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
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Data Scientist Senior Consultant
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Aug 2016 - Jul 2017
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General Assembly
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United States
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Higher Education
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700 & Above Employee
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Data Science Immersive
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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
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Shapiro & Duncan, Inc
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United States
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Construction
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100 - 200 Employee
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Accounting Clerk
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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
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RJ Bentley's
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United States
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Food and Beverage Services
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1 - 100 Employee
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Bartender, Barback
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Sep 2008 - Apr 2011
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Education
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University of Maryland College Park
Bachelor of Science (B.S.), Mathematics -
General Assembly
Data Science Immersive