I will perform sports data analysis eda and visualization

United States

I speak English

1 order completed

Data science professional (B.S. Physics, M.S. Data Science   2026) skilled in Python, R, SQL, and statistical modeling. Proven ability to clean, analyze, and visualize data to drive operational improv...
About this Gig

Are you ready to find the hidden edge in your sports data? I speialize in Sports Analytics using Python to turn box scores, tracking data, or player stats into clear, strategic insights for scouting, betting, or fantasy.


What I deliver:

  • Custom Metrics: Calcuate specialized metrics like xG (Expected Goals), PER (Player Efficiency Rating), or custom efficiency scores.
  • Visual Storytelling: Create compelling charts (shot maps, heatmaps, positional charts) that instantly show performance trends.
  • Scouting Reports: A PDF summary detailing player/team strengths, weaknesses, and potential performance drivers.


Requirements:

  1. Data File (CSV, Excel, or a link to a public API like Basketball-Reference).
  2. Target Player/Team and the specific question (e.g., "What is the team's most efficient attack zone?").

Domain:

Machine Learning

Time Series Analysis

Expertise:

Feature learning

Classification

Clustering

Programming language:

Python

R

SQL

Tools:

Jupyter Notebook

Technology:

Python

R

scikit-learn

Jupyter Notebook

SQL

Pandas

Models & methods:

Machine Learning

Deep learning