Data Studies

Questions, answered with data.

Datasets I've taken apart to see what they actually say, with the data included so you can check my work.

  1. Header visual for the Analysis of Factors Influencing Lead Conversion study.

    Analysis of Factors Influencing Lead Conversion: What Actually Predicts a Sale

    A logistic-regression look at what actually predicts B2B lead conversion (data completeness, record age, seniority, and contactability) using a simulated CRM dataset built to reflect the same patterns.

  2. Header visual for the Pokémon Data Study.

    Pokémon Data Study: What 1,025 Pokémon Reveal About Type Matchups, Stats, and Rarity

    A three-part Pokémon analysis covering type matchups, base-stat patterns, and rarity signals across Generations 1 to 9 using Python, pandas, numpy, and matplotlib.

  3. Header visual for the Netflix Genre Performance Study.

    Netflix Genre Performance Study: Why Animation Leads and Horror Falls Behind

    A genre-level analysis of Netflix movie data up to 2025, comparing average rating, average popularity, and title count to understand how audience interest differs across categories.