- 🎓 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
I enjoy working at the intersection of mathematics, computation, and modeling.
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📊 Quantitative Thinking
- Random variables, distributions, expectation
- Matrix methods, decompositions, optimization
- Risk–return trade-offs and evaluation metrics
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🧠 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
- 💼 LinkedIn: www.linkedin.com/in/swetank-kumar-706557249
- ✉️ Email: [email protected]
Build fundamentals. Think in models. Optimize later.

