Samuel Fraley

Temple Roster Analysis

Roster construction · Player profiles · Program-level insights

Uses the CFBD API and 247Sports recruiting data to analyze geographic pipelines and talent distribution across Temple's roster.

Target Separation & In-Flight Movement EDA – 2026 NFL Big Data Bowl

Tracking data · Ball-in-flight separation · Exploratory research

Exploratory analysis of receiver–defender separation at the moment of throw and at arrival, focusing on how separation evolves while the ball is in the air.

• Data: 2026 NFL Big Data Bowl tracking sample for pass plays with ball-in-flight segments.
• Methods: Event alignment around release and arrival, separation metrics at throw vs. catch, change-in-separation distributions, route- and matchup-level breakdowns.
• Goal: Analyze how separation changes while the ball is in the air, combine speed metrics for wide recievers to better understand in-flight movement.

NFL Play Call Predictor (still in dev)

Full-stack app · ML pipeline · Software engineering

A production web application that predicts run-pass probability based on pre-snap context, built for a computational methods course to demonstrate software engineering best practices.

• Data: NFL play-by-play data from 2021–2023 seasons with pre-snap situational features.
• Methods: Feature engineering pipeline, simple ML classifiers, comprehensive unit testing, modular code architecture.
• Focus: Emphasizes production-quality code—full feature libraries, testing suites, and deployment—over advanced modeling given data constraints.

Go Ball Analysis – 2026 NFL Big Data Bowl

Route concepts · Coverage strategies · Tournament project

Analysis of how defenses defend deep vertical "go" routes and how offenses adjust route stems, spacing, and timing to attack different coverage structures.

• Data: Open Big Data Bowl tracking data for passing plays with vertical concepts.
• Methods: Route labeling, separation and leverage metrics, coverage identification heuristics, outcome modeling.
• Goal: Quantify how defensive structures influence the success of deep routes and identify tendencies teams can exploit.

moveBSE – Barcelona Transit Logger

Full-stack app · React + Supabase · Offline-first design

A full-stack transit logging app for friends to track metro journeys across Barcelona, featuring real-time dashboards, leaderboards, and a "Spotify Wrapped"–style year-in-review summary.

• Stack: React frontend, Supabase backend for user authentication and data storage, deployed on Vercel.
• Challenges: Offline loading and syncing for use in metro tunnels with limited service, dynamic state management, multi-user authentication.
• Features: Trip logging, personal dashboards with commute stats and CO₂ savings, tap location mapping, and social leaderboard comparisons.

BCN Kebab x Nightlife

Digital Mapping · OSM Data · For Fun

Two import locations for grad students in Barcelona. Pulled OSM data and made some maps.

• Data: OSM via Overpass API
• Results: Tree network, radius visuals, counts, etc

Mapping Commuting Patterns in Philadelphia

Census LODES data · Regional mobility · Workforce flows

Comprehensive analysis of home-to-work commuting patterns across the 11-county Philadelphia metropolitan area using Census LEHD Origin-Destination data, visualizing worker flows and demographic characteristics of commuters.

• Data: Census LODES (LEHD Origin-Destination Employment Statistics) at census tract level, covering 4.5+ million jobs and 900,000+ commute paths.
• Methods: Spatial aggregation to tract and county levels, multiline feature construction, demographic breakdowns by age, income, and industry sector, interactive dashboard design in ArcGIS Online.
• Key Findings: Philadelphia County had 525,000 workplace jobs with 44% filled by commuters from other counties; Montgomery County showed highest commuter dependency at 55%.

Rising Inflation and the Current Recovery

Economic indicators · Time series · Policy analysis

Analysis of Philadelphia's inflation trends during the 2022 economic recovery, comparing local Consumer Price Index data to national patterns and examining sector-specific price changes alongside labor market indicators.

• Data: BLS Consumer Price Index data for Philadelphia metro area and comparison cities.
• Methods: Year-over-year change calculations, sector decomposition (food, energy, services, core goods), cross-market comparisons.
• Key Findings: Philadelphia inflation reached 8.8% YoY in June 2022, with energy prices rising 36% and services inflation accelerating to 6.4%, despite falling unemployment and 5.3% wage growth.