ALVINO LAMAR

Results-driven Data Analyst with a strong passion for Football, leveraging advanced analytical skills to drive performance insights, team strategies, and player development. Proactive professional in analyzing large datasets, creating predictive models, and visualizing trends to inform decision-making. Skilled in statistical software and programming languages such as SQL,R, and Power BI. Natural problem-solver with a deep understanding of football metrics, player statistics, and schematics. Adept at translating complex data into insights for coaches, scouts, and stakeholders to optimize team performance and achieve competitive advantage.

• Designed and implemented a comprehensive multi-page dashboard to track and analyze key business metrics related to leasing, advertising spend, and marketing sources. The dashboard integrated data from multiple sources and fact tables, allowing for a holistic view of performance across different services. Using DAX calculations, I created complex measures to highlight trends, conversion rates, and the ROI of various marketing channels. The dashboard featured a variety of dynamic visuals, including bar charts, KPIs, line graphs, enabling users to quickly drill down and filter into specific areas of interest. The end result provided stakeholders with an intuitive, interactive tool for real-time decision-making and performance monitoring, leading to more informed strategies in both marketing and leasing efforts.
• Conducted detailed analysis of game film of both College and the NFL, focusing on key performance metrics for offensive and defensive play execution. The project involved charting and quantifying various metrics, such as quarterback accuracy, wide receiver usage, and ball carrier yards before and after contact. Using company specific software I tracked and recorded data on quarterback passing accuracy, including completion rates and throwing efficiency under pressure, to assess decision-making and arm strength. For wide receivers, I cataloged targets, routes run, and reception rates to identify patterns in target distribution and usage across games. I also analyzed ball carrier performance, measuring yards before contact to assess the offensive line's effectiveness, and yards after contact to evaluate the running back's ability to break tackles and gain extra yardage. Additionally, I labeled and tagged key run game concepts,defensive coverages, and fronts to provide context to each play. This granular breakdown allowed for an in-depth understanding of how both offensive and defensive units executed their strategies and adjusted throughout the game.
• Wrote multiple player scouting reports for SIS by conducting in-depth analysis of college players. Utilized a combination of game footage, performance metrics, and advanced statistical models to assess players' skills, strengths, weaknesses, and potential for future success at the professional level. Focused on natural athletic abilities such as speed, strength, decision-making, and overall football IQ, and translated these insights into actionable reports.