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fiorellatrigo/README.md

Hi, I’m Fiorella 👋

Data Scientist | Python · Machine Learning · Tech for Good

I’m a Data Scientist focused on translating complex datasets into strategic, human decisions that drive positive social and environmental impact. With rigorous hands-on training from TripleTen, I excel at structuring messy data, validating hypotheses through statistical modeling, and deploying optimized predictive systems based on real-world business scenarios.

My background is non-traditional and international, which gives me a unique edge: I combine advanced analytical thinking and robust data-wrangling skills with strong communication and the adaptability required to deliver value autonomously in high-growth, multicultural environments.

When I’m not diving deeper into Data Science, you’ll probably find me marathon-reading romance or fantasy books, teaching English, or spending time outdoors.


🛠️ Tools & Skills

  • Languages & Databases: Python, SQL
  • Data Analysis & Wrangling: Pandas, NumPy, Data Wrangling, EDA
  • Statistics & Validation: Statistical Data Analysis, Hypothesis Testing, A/B Testing
  • Machine Learning & AI: Machine Learning (Supervised & Unsupervised), Linear Algebra, Numerical Methods, Time Series, Text ML, Deep Learning, Computer Vision
  • Workflow & Automation: Git, GitHub, Jupyter, CLI, Data Automation

📂 Featured Projects

👉 Check my pinned repositories below for end-to-end data science projects and predictive models.


📫 Let’s connect

🔗 LinkedIn: Fiorella Trigo
🌐 Portfolio: fiorellatrigo.github.io

Pinned Loading

  1. video_game_market_analysis_2017 video_game_market_analysis_2017 Public

    A historical data study of video game sales and ratings across global markets. Using Pandas and SciPy, I identified life-cycle patterns and distinct regional preferences between Western and Japanes…

    Jupyter Notebook 1

  2. wind_energy_prediction wind_energy_prediction Public

    German wind energy forecasting framework using Python and XGBoost. Features advanced time-series data restructuring (Wide-to-Long pipeline) and chronological validation splits. Reduces prediction e…

    Jupyter Notebook 1

  3. chicago_taxi_market_analysis chicago_taxi_market_analysis Public

    Chicago taxi market study using SQL and Python to analyze trip data and weather impacts. Features an EDA on market share (Flash Cab leadership) and geographic hotspots. Implemented Levene’s test an…

    Jupyter Notebook

  4. megaline_consumer_behavior_analysis megaline_consumer_behavior_analysis Public

    A revenue and behavior study of Megaline’s base across Surf and Ultimate plans. Using Pandas and SciPy, I built a pipeline to analyze usage logs, managing outliers to isolate revenue drivers. Lever…

    Jupyter Notebook

  5. mobile_plan_classification_ML mobile_plan_classification_ML Public

    Megaline, a mobile carrier, wants to analyze customer behavior to recommend one of their two new plans: Smart or Ultra. The goal is to build a classification model with an accuracy of at least 0.75…

    Jupyter Notebook