About Me
I am a Data Scientist with a strong foundation in Economics and a passion for applying quantitative methods to financial markets. My goal is to leverage advanced machine learning, reinforcement learning, and statistical modeling to develop and implement data-driven algorithmic trading strategies.
My academic background, combining a Bachelor’s in Economics with a Master’s in Data Science & Leadership, has provided me with a unique perspective on bridging the gap between economic theory and practical, AI-powered applications. I am proficient in Python and its data science ecosystem (Pandas, Scikit-learn, TensorFlow), and I am dedicated to continuously deepening my expertise in finance as a CFA Level I Candidate.
Currently, I am focused on building a portfolio of quantitative research projects, exploring everything from volatility targeting to creating autonomous trading agents. I am always open to connecting with professionals and exploring opportunities in the quantitative finance and algorithmic trading space.
Education:
- Master in Data Science & Leadership, Amsterdam Tech
- Bachelor in Economics, University of Patras
Technical Skills:
- Programming Languages: Python, SQL
- Data Science & ML Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Lifelines, Stable-Baselines3
- Deep Learning: TensorFlow, PyTorch
- Databases: MySQL
- Cloud platforms: Databricks
- Tools: Git, GitHub
Certifications :
- CFA Level 1 Candidate
- English Academic IELTS 6,5
Panagioths - Dimitrios Nikolakopoulos | MSc 