Emmanuel Garcia

I’m a data analytics professional building practical skills for turning complex football and sports data into clear performance and tactical insights. My training combines data engineering fundamentals with hands-on analysis, so I can move from messy inputs to actionable conclusions.

Through an immersive Rutgers Data Science Bootcamp, I developed a strong foundation in Python, SQL, HTML, Tableau, and related tools to explore and analyze data effectively. I’m currently pursuing an MSc in Data Analytics in Football Sports Data (UCAM, remote), where I focus specifically on applied football analytics and extracting insights from tracking data, event data, and video analysis.

I’ve learned advanced tools for football analytics, including Metrica sports and StatsBomb, and I’m comfortable using Python, R, Tableau, and SQL together to support performance and tactical analysis. I enjoy work that requires attention to detail, structured reasoning, and turning domain context into measurable findings.

Alongside my analytics path, I’ve supported real users and processes in hands-on roles, including Level 1 IT Help Desk support where I troubleshot hardware, software, and network issues via ticketing and remote assistance. I also managed onboarding and integration in an account-focused internship, aligning solutions to client workflows—experience that strengthens how I communicate insights and ensure smooth delivery.