Data Science graduate based in Sydney, with hands-on experience in data pipelines, machine learning, data analysis, cloud-based systems, and software development.
I work mainly with Python, SQL, Go, and cloud technologies to build practical, data-driven solutions. My background also includes performance-oriented C++ development and real-time systems from previous game development experience.
- Data Science and Machine Learning
- Data Pipelines and Cloud-Based Systems
- Financial Data Analysis and Time Series
- Software Engineering
- Machine Learning Tools and Algorithms
End-to-end financial data pipeline and trading automation project using historical stock data, GRU-based prediction, feature engineering, and Alpaca API integration.
Deep learning image classification project for detecting malignant skin moles from medical images, using TensorFlow/Keras, transfer learning, and a recall-first evaluation approach.
Financial sentiment analysis platform that collects stock-related news and classifies sentiment using a Python NLP microservice, C# API, and React frontend.
Data Science & ML: Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost
Cloud & Data Engineering: AWS, GCP, Docker, PostgreSQL, REST APIs, data pipelines
Programming: Python, Go, C++, SQL, TypeScript, JavaScript, R
Tools: Git, Linux, Bash, GitHub
- Portfolio: https://david-otero.me
- LinkedIn: https://www.linkedin.com/in/david-sebastian-otero-velasquez
- GitHub: https://github.com/Puchungualotsqui