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SudoPanda2610/README.md

Arnav Panda

BITS Pilani · Economics & Electronics · Quantitative Finance · Machine Learning

I'm a dual-degree student at BITS Pilani, pursuing an M.Sc. in Economics and a B.E. in Electronics & Instrumentation.

My interests lie at the intersection of mathematics, computing, and finance, particularly in quantitative research, financial engineering, and machine learning.

Areas of Interest

  • Quantitative Finance: Stochastic processes, financial modelling, and numerical methods
  • Machine Learning: Statistical learning, applied AI, and data-driven modelling
  • Software Engineering: Algorithms, C++, Python, and computational problem-solving

Currently Exploring

I'm focused on strengthening my foundations in mathematical finance, machine learning, and high-performance computing while building practical projects in these areas.

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  1. agentic-portfolio-sim agentic-portfolio-sim Public

    Auditable portfolio research stages with walk-forward execution and optional LLM agents

    Python

  2. american-option-pricing american-option-pricing Public

    American put pricing with binomial trees and least-squares Monte Carlo

    Python

  3. avellaneda-stoikov-market-making avellaneda-stoikov-market-making Public

    Inventory-aware optimal quoting and limit-order-book simulation based on the Avellaneda-Stoikov model

    Python

  4. bayesian-neural-architecture-search bayesian-neural-architecture-search Public

    Bayesian optimization for neural architecture search with multiple surrogate models

    Python

  5. crypto-spectral-signals crypto-spectral-signals Public

    Graph learning and spectral covariance estimation from cryptocurrency market microstructure

    Python

  6. deeplob-replication deeplob-replication Public

    Compact DeepLOB replication for limit-order-book price movement forecasting

    Python