Data Analyst with experience in data analysis, machine learning, and data entry across sports analytics, data science support, and job listing data transformation. Skilled in Python, R, SQL, C++, Java, PySpark, Tableau, …
Data Analyst with experience in data analysis, machine learning, and data entry across sports analytics, data science support, and job listing data transformation. Skilled in Python, R, SQL, C++, Java, PySpark, Tableau, Microsoft Office, AWS, Docker, Pandas, NumPy, and PyTorch.
Recorded and collected real-time statistics for FSU home football games, including downs, yard line, and distance, supporting the DraftKings betting API.
Logged statistics for 9 college football games during the 2022-2023 college football season, supporting millions of dollars in bets.
Maintained an accuracy rate of over 99.9% when logging plays.
Ensured precise data for analysis and trend identification.
Fueled next-level fan engagement in stadiums.
Consulted with a client, analyzing and filtering data.
Transformed PDF job files into online job listings for a job board.
Applied data analysis techniques using Pandas and NumPy to identify patterns and extract keywords from an extensive dataset comprising over 20,000 files.
Removed unnecessary information to ensure that applicants only encountered relevant information when applying for jobs.
Used PyTorch and machine learning methods to extract data from computer vision for more than 100 documents.
Created deliverables that enabled the client to post job opportunities.
Collaborated closely with team members to maintain a 100% accuracy rate in project deliverables.
Ensured that applicants had accurate information for job opportunities.
Formatted data into a user-friendly layout, providing essential information for thousands of jobs.
Decreased the average time for completing job applications.
Facilitated 3 discussions with 20+ members.
Focused on sports analytics topics.
Imparted coding skills tailored to sports.
Developed resources to aid students in learning more about data science and seeking assistance with their coursework.
Produced 2 Python tutorials for FSU students.
Crafted 3 Canvas web pages dedicated to data-related topics.
Allowed students to explore Python, SQL, and data management practices.
Authored 1 blog post.
Is currently in the process of creating more than 7 podcast episodes focused on discussing data.
Encouraged students to become more involved in data science.
Provided support to students facing data-related challenges in their schoolwork via office hours.
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