🎯 Junior Data Scientist with background in Aviation & Operational Optimization.
🔹 Industrial machine learning — SteelProof
🔹 Time series forecasting — Taxi demand prediction
Tech stack: Python • Pandas • Scikit-learn • React • TypeScript • SQL
🌍 Brazil 🇧🇷 | Germany 🇩🇪
A data-driven application that predicts whether a passenger can safely make a flight connection using probabilistic timing models. Currently improving airport timing models and expanding airport datasets.
🔗 Project: https://github.com/Danalytiks/Gaterunner
Data-driven professional passionate about transforming raw data into actionable insights, with a strong interest in aviation analytics and operational optimization.
Completed the TripleTen Data Science Bootcamp, gaining practical experience building end-to-end machine learning solutions using Python, Pandas, NumPy, Scikit-learn, and Streamlit — including data preprocessing, feature engineering, model development, and evaluation.
- Machine Learning
- Predictive Modeling
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Model Evaluation & Cross-Validation
- Data-Driven Decision Making
