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Achievement: Pull SharkAchievement: YOLO

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swetank18/README.md

Hi 👋, I'm Swetank Kumar

🧠 About Me

  • 🎓 Computer Science undergraduate
  • 📐 Strong foundation in Linear Algebra, Probability, Statistics
  • 🧩 Interests: Quantitative Finance, Machine Learning, Competitive Programming
  • 🔬 Research-oriented mindset: model → experiment → evaluate
  • 🎯 Actively preparing for research & quant-oriented internships

📐 Quant & Research Focus

I enjoy working at the intersection of mathematics, computation, and modeling.

  • 📊 Quantitative Thinking

    • Random variables, distributions, expectation
    • Matrix methods, decompositions, optimization
    • Risk–return trade-offs and evaluation metrics

  • 🧠 Research Approach

    • Hypothesis → Model → Experiment → Analysis
    • Reading papers, reproducing results, extending ideas

maximize 𝔼[PnL]  subject to  Risk ≤ ε
Loss(θ) = 𝔼[(y − f(x; θ))²] + λ‖θ‖₂

🛠 Tech Stack

📊 GitHub Stats

GitHub Stats

📫 Connect

Build fundamentals. Think in models. Optimize later.

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  1. Brain-Tumor-Classification-Using-CNNs-MRI-Scans Brain-Tumor-Classification-Using-CNNs-MRI-Scans Public

    Python

  2. Interdomain-Group-C Interdomain-Group-C Public

    Forked from jayin-shresth/Interdomain-Group-C

    Autonomous Pipe exploration robot for sewage sample collection

    Python

  3. sparc-rudra sparc-rudra Public

    This repository contains the simulation, URDF, stair detection node, and nav2 stubs for the SPARC Rudra rover.

    CMake

  4. BIONEXUS BIONEXUS Public

    BioNexus is an explainable AI system for medical report understanding. It converts raw medical reports (PDFs, images, text) into structured, clinician-ready summaries with sentence-level provenance.

    Python

  5. -Monte-Carlo-Simulation-for-Options-Pricing -Monte-Carlo-Simulation-for-Options-Pricing Public

    This project prices European options by Monte Carlo simulation under the risk-neutral measure, and cross-checks the result against the Black-Scholes analytical formula.

    Python

  6. Distributed-ML-Training-Framework Distributed-ML-Training-Framework Public

    A research-grade, correctness-first distributed training framework in Python, inspired by the design space of PyTorch Distributed and Horovod.

    Python