PranayN23/NFLResourceAnalysis
Oct 2024 – Apr 2025
3 Months active
Languages Used
CSVPythonJupyter NotebookCSSJavaScriptTypeScript
Technical Skills
Data AnalysisData CleaningData ProcessingMachine LearningPandasPython
tandon35
PROFILE
Tandon35
Pranay Tandon developed advanced analytics and data engineering features for the PranayN23/NFLResourceAnalysis repository, focusing on NFL player and team performance insights. He built end-to-end data pipelines in Python and Pandas to clean, aggregate, and preprocess multi-year defensive and player statistics, enabling machine learning models for player performance prediction. Leveraging TensorFlow, Keras, and deep learning techniques such as RNNs and MultiHeadAttention, he implemented predictive models and visualizations to support data-driven decision making. Pranay also enhanced backend APIs and frontend components using Node.js, React, and TypeScript, improving access to weighted analytics, free agency data, and roster displays by PFF scores.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
9
Lines of code
998,119
Activity Months3
Your Network
108 people
Work History
April 2025
5 Commits • 3 Features
Apr 1, 2025April 2025 (PranayN23/NFLResourceAnalysis) delivered three core features and associated data-model improvements to drive deeper analytics, enhanced user navigation, and faster access to key datasets. The work strengthened business value by enabling weighted analytics, surfacing player performance insights by team and season, and improving access to free-agent information.
5 Commits • 3 Features
Apr 1, 2025April 2025 (PranayN23/NFLResourceAnalysis) delivered three core features and associated data-model improvements to drive deeper analytics, enhanced user navigation, and faster access to key datasets. The work strengthened business value by enabling weighted analytics, surfacing player performance insights by team and season, and improving access to free-agent information.
April 2025
November 2024
12 Commits • 5 Features
Nov 1, 2024November 2024 performance summary for PranayN23/NFLResourceAnalysis: Delivered comprehensive predictive analytics capabilities across player and team modeling, with robust data pipelines, enhanced visualization, and important data quality improvements. Achievements enabled more accurate forecasts of player PFF scores and team statistics, supporting data-driven coaching, scouting, and strategic decision making.
November 2024
12 Commits • 5 Features
Nov 1, 2024November 2024 performance summary for PranayN23/NFLResourceAnalysis: Delivered comprehensive predictive analytics capabilities across player and team modeling, with robust data pipelines, enhanced visualization, and important data quality improvements. Achievements enabled more accurate forecasts of player PFF scores and team statistics, supporting data-driven coaching, scouting, and strategic decision making.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary focused on delivering business value through data engineering for ML-ready player performance insights. Completed an end-to-end NFL defensive data processing pipeline that cleans and merges defense data from multiple CSV sources, applies weighted averaging to create robust defensive features, and generates an ML-ready dataset for predicting player performance based on historical data and value metrics. The work improves data quality, reproducibility, and speed of ML model iteration across the NFLResourceAnalysis workflow.
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary focused on delivering business value through data engineering for ML-ready player performance insights. Completed an end-to-end NFL defensive data processing pipeline that cleans and merges defense data from multiple CSV sources, applies weighted averaging to create robust defensive features, and generates an ML-ready dataset for predicting player performance based on historical data and value metrics. The work improves data quality, reproducibility, and speed of ML model iteration across the NFLResourceAnalysis workflow.
October 2024
Activity
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Quality Metrics
Correctness81.6%
Maintainability81.2%
Architecture80.0%
Performance72.8%
AI Usage24.4%
Skills & Technologies
Programming Languages
CSSCSVJavaScriptJupyter NotebookPythonTypeScript
Technical Skills
API DevelopmentBackend DevelopmentData AggregationData AnalysisData CleaningData CleanupData ModelingData PreprocessingData ProcessingData VisualizationDatabase InteractionDeep LearningFeature EngineeringFile ManagementFootball Analytics
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline