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ramiuness/README.md

๐Ÿ‘‹ Welcome

Quantitative Research Portfolio Optimization Machine Learning Finance Open Source


๐Ÿง  About Me

Quantitative researcher with a background in mathematics and formal training in mathematical and computational finance. I specialize in data-driven portfolio construction, risk modeling, and financial machine learning.
I build and validate investment strategies using tools from stochastic optimization, dynamic programming, and machine learning.
My repositories feature modular, production-grade implementations of models with a focus on robustness, transparency, and empirical evaluation.


๐Ÿ”ญ Current Focus

  • End-to-end asset allocation systems
  • Decision-aware predictive modeling
  • Robust performance under uncertainty

โš™๏ธ Tech Stack

๐Ÿ’ป Languages & Platforms

Python Julia MATLAB

๐Ÿ“Š Data & Visualization

Pandas NumPy Matplotlib Seaborn Plots.jl

๐Ÿค– Machine Learning

scikit-learn LightGBM PyTorch Keras JAX

๐Ÿ“ˆ Optimization & Modeling

CVXPY cvxpylayers JuMP Gurobi HiGHS ECOS SCS


๐Ÿ“ซ Let's Connect

  • ๐Ÿ“ง LinkedIn โ€” feel free to reach out for collaboration, questions, or just a chat.

Always learning. Always refining. Always building.

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