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Data Scientist with a focus on providing actionable insights and improving business processes through statistical analysis and machine learning.
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Data ScientistTurquoise Health Jan 2023 - PresentSan Diego, Ca, Us -
Data ScientistLuma Financial Technologies May 2022 - Nov 2022Cincinnati, Ohio, Us- Used Python to create a web scraper to pull and ingest complex structured note data from various issuer sites- Currently building a system to parse and scrape structured product term sheet PDFs using various machine learning techniques, such as OCR, classification, and text generation - Using a client's api, developed internal reporting to identify errors in our data- Utilize Python, SQL, MongoDB, and AWS to perform various ad hoc tasks for our engineering teams -
Data Science ManagerEdjsports Jan 2022 - May 2022Louisville, Kentucky, Us- Manage and act as a mentor for a small team of data scientists- Work with leadership to determine and prioritize current goals for the data science team- Collaborate with development team to make sure our work is properly integrated into our systems- Communicate results with leadership team in a clear and concise way that is understandable to non-technical stakeholders- Lead the effort to build a system of web analytics dashboards in Domo for our various sites- Manage the development of a machine learning model to determine the in-game probabilities of NBA game outcomes -
Senior Data ScientistEdjsports/Edjanalytics Jan 2019 - Dec 2021- Utilize Python and SQL to clean data, perform feature engineering, perform data analysis, build machine learning models, and produce visualizations for various industries, including healthcare, manufacturing, marketing and sales- Regularly present results in an understandable manner to end users and business executives- Created and deployed machine learning models to determine the in-game likelihoods of outcomes for an NFL game, which powers the bet tracker on edjsports.com- Utilizing hypothesis testing and data visualization to troubleshoot and build a test harness for our football and basketball simulations- Built a classifier to predict serious bleeding events for patients taking anticoagulants using Electronic Health Records and social determinants of health data (PHUSE presentation available)- Produced a model to identify patient risk of hospital readmission, utilizing SHAP values to identify the most important factors affecting risk score- Leveraged machine learning to build a proof-of-concept scrubber tool for medical forms
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Data ScientistThe Rawlings Group Apr 2017 - Jan 2019Lagrange, Kentucky, Us- Worked with a team of analysts and data scientists to derive insights from data that helped drive business decisions- Manipulated data with SQL and Python for use in performing exploratory analyses, building machine learning models, and developing visualizations- Developed machine learning models (Random Forests, Logistic Regressions, SVMs, GRU Neural Networks) to improve business processes, such as predicting future health care utilization, identifying subrogatable events, and identifying Medicare Disability enrollment- Developed a recurrent neural network that optimized the timing of coordination of benefits invoicing, resulting in the value of each invoice increasing an average of $1,500 (>$1,000,000 per year)- Built dashboards and created visualizations using Tableau, Plotly, and MatPlotLib- Presented results of models and analyses to business executives -
Data ScientistSemitone Feb 2017 - Apr 2017Tucson, Us- Developed a handwritten symbol classication model with Python for a music composition app- Extracted features from a dataset of handwritten music symbols, including histogram of oriented gradients, projection histograms, central moments, and Hu moments- Designed a proof of concept online learning logistic regression model using Python Presented results to founder of the company- Researched and advised on how to implement the classification model in C++, ultimately deciding on Vowpal Wabbit -
Research AssistantUniversity Of Louisville Nov 2012 - Dec 2015Louisville, Ky, Us- Designed protocols and performed experiments accordingly- Analyzed data using R to gain insight into how Salmonella is able to cause systemic infections- Responsible for training and supervising new research assistants- Helped to develop a new in vitro assay to study how Salmonella causes systemic infections - Helped secure a federal grant worth over $500,000
Corey Young Skills
Corey Young Education Details
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General AssemblyData Science -
University Of LouisvilleAnd Developmental Biology
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University Of LouisvilleBiology
Frequently Asked Questions about Corey Young
What company does Corey Young work for?
Corey Young works for Turquoise Health
What is Corey Young's role at the current company?
Corey Young's current role is Senior Data Scientist.
What is Corey Young's email address?
Corey Young's email address is cy****@****ech.com
What is Corey Young's direct phone number?
Corey Young's direct phone number is +150285*****
What schools did Corey Young attend?
Corey Young attended General Assembly, University Of Louisville, University Of Louisville.
What skills is Corey Young known for?
Corey Young has skills like Statistical Data Analysis, Html, Statistics, Data Analysis, Research, R, Python, Statistical Modeling, Sql, Mongodb, Machine Learning, Customer Service.
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