Eric Itemuagbor
Graduate Assistant - Machine Learning and Data Analysis at Prairie View A&m University
Based in Prairie View, United States
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Seniority
Staff
Department
Information Technology
Location
Prairie View
Industry
Higher Education
Company size
2.9K
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e•••••••@pvamu.edu
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Background
About Eric Itemuagbor
Hey there! I'm Eric Itemuagbor, a Computer Science enthusiast on a quest to drive innovation through technology. Education: Currently pursuing my M.Sc. in Computer Information Systems at Prairie View A&M University with a stellar GPA. I anticipate graduating in June 2025, armed with a robust foundation in programming, database management, and analytical prowess. Technical Arsenal: Proficient in a spectrum of programming languages: Python, C++, C#, HTML, CSS, JavaScript, SQL, and Bash. I wield tools like Pandas, NumPy, TensorFlow, Scikit-Learn, Selenium, BeautifulSoup, Power BI, SPSS, React, Express, and Unity. Database mastery includes MySQL and MongoDB. Equally comfortable in Linux and Windows environments. Plus, I'm well-versed in Arduino, REGEX, REST APIs, Git, and GitHub. Professional Journey: As a Graduate Assistant, my focus lies in Machine Learning and Data Analysis at Prairie View A&M University's Center of Excellence in Research and Education for Big Military Data Intelligence (CREDIT). I delve into extensive research in big data analytics, processing colossal datasets with PySpark and SQL, crafting advanced machine learning models with TensorFlow and Scikit-Learn, and meticulously documenting findings on GitHub. I excel in conveying insights through Power BI and Excel. Past Engagements: My tenure as a Software Engineer at Rexox Integrated Services revolved around elevating the car tracking platform. My contributions ushered in real-time data representation enhancements, improved user engagement, optimized database query performance, automated system updates, and facilitated firmware development for seamless integration. Innovation Beyond: Beyond the 9-to-5, I lead teams in hackathons, engineer full-stack web applications from scratch, build machine learning models, analyze data and craft AR furniture visualization apps. These side projects fuel my passion for creative problem-solving. Diverse Skills: Actively involved with the National Society of Black Engineers (NSBE) and PVAMU Data Science Club, I refine problem-solving, communication, and collaboration. I boast a typing speed of 90 words per minute (wpm) and excel in statistical analytics. Connect with Me: Excited to connect with tech enthusiasts, collaborators, and trailblazers. Let's explore opportunities, learn, and shape technology's future together.
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