Quantitative Analyst | PhD Candidate in Econophysics | Financial Modeling | Machine Learning | Algorithm Design | NN | LLM I’m a Quantitative Analyst and PhD candidate in Econophysics at Shahid Beheshti University, combining theoretical physics with hands-on experience in financial modeling and algorithm design. Core Strengths: Mathematical Modeling: Expert in time-series, stochastic processes, and predictive modeling. Algorithmic Trading: Proficient in Python, MQL, and Mathematica; skilled in building trading bots and risk models. AI & ML: Experience with LSTM, CNNs, Transformers, and LLMs for forecasting and financial NLP. Research-Driven: Applied LPPLS and other models to real markets for bubble detection and strategic insights.

alihos
alihos

تحصیلات

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سوابق شغلی

- As a quant, I am working on designing a model for the analysis of the pioneering and most important recent project of Charisma, which is Charisma Cart
1403 - 1404 Senior Quantitative Risk analyst - Charisma
- As a Quant Scientist, I design mathematical models for the in-game economy of a play-to-earn game called Land Rocker, within the context of blockchain technology. The game currently has more than 200 thousand users, and its token, LRT(), operates on the Polygon network. Amazingly, based on my simulations and models, we can estimate the game's dynamics. Furthermore, I have simulated the macroeconomy of Land Rocker and its token, LRT, using stochastic simulation. In addition to this, I conducted statistical and data analysis on the in-game economy and the token. I also designed a bot using generative AI to automate certain tasks of the model.
1402 - 1403 Quant Scientist/Mathematical Game Economist - LandRocker
- در Machine Learning · Statistical Data Analysis · Quantitative Analysis (Finance) · Python (Programming Language) · Artificial Intelligence (AI)
1401 - 1402 AI developer for finance - AradWare

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