I'm a passionate software and quantitative developer with a focus on algorithmic trading and data science. I love building innovative solutions that solve real-world problems, and I'm always eager to learn new technologies and improve my skills.
- Programming Languages:
- Frameworks & Libraries: TensorFlow, Keras, Pandas, NumPy, SciPy, Matplotlib, ggplot2, dplyr, dbplyr, and more.
- Tools & Platforms: Git, Docker, AWS, Kubernetes, kafka.
- Specialties: Algorithmic Trading, Quantitative analysis(Risk and pricing), Machine Learning, Data Analysis, Software Architecture, Database management.
A combination of experimental and well defined functionalities for algorithmic trading that supports back-testing and live trading using Python and C++. The repository includes advanced strategies based on Hidden Markov Models and momentum detection, as well as singular functions and notebooks.
- Technologies: Python, C++, SQL, Pandas, NumPy, SciPy, Matplotlib, and more.
- Key Features: Real-time data integration, customizable trading strategies, performance analytics, common and custom strategy functions.
A comprehensive quantitative finance, mathematics and insurance knowledgebase.
A python package to connect various finance data REST APIs to your python environment with your API keys and API secrets.
- Technologies: Python, pandas, request, Various other dependencies.
- Key Features: Data extraction, Data cleanup, Data transformation.
A long time project of mine, with focus on proper simulation of spiral galaxies with dark matter and dark energy simulations as well.
- Technologies: Python, Jupyter, Pandas, matplotlib.
- Key Features: animations and trajectory simulations for stars rotating around a galaxy.
- LinkedIn: LinkedIn
- Email: [email protected]