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About Me

“Turning real‑world business challenges into mathematical models – and delivering practical, optimised solutions.”

Hi, I'm Anurag

I am a Quantitative & Qualitative Data‑Driven Researcher with over 2 years of hands‑on experience in quantitative finance, data engineering, and advanced analytics. My passion lies at the intersection of mathematical optimisation, statistical learning, and high‑performance data systems.

I thrive on converting messy, real‑world problems into clean mathematical models – especially NP‑hard computational challenges – and applying LP/IP/MILP/MINLP/UP strategies to deliver solutions that are not only theoretically sound but also practically valuable.

🧠 What drives me

I believe that the most interesting problems are those that resist simple answers. Whether it's optimising a portfolio, designing a low‑latency data pipeline, or formulating a complex scheduling problem as a mixed‑integer program – I enjoy the journey from ambiguity to clarity, from raw data to decision.

💼 Professional Experience

I have worked across data engineering, quantitative research, and automation – building scalable market data pipelines, refactoring backtesting architectures, developing GenAI research tooling, deploying cloud automation, and delivering large‑scale web crawling solutions. My experience spans roles as a Data Scientist (Finance), Data Analyst Intern, and Project Executive (MIS/IT).

🎓 Education – Rigorous & Diverse

Programme Institution Focus Selectivity / Notes
B.Tech in Computer Science & Engineering Gauhati University Algorithms, data structures, OS, networks, compilers Admission via competitive entrance examination
PGDM in Development Management Development Management Institute (DMI) Project management, strategic execution, team leadership 100% attendance required – rigorous residential programme
MDP in Project Management for Rural Livelihoods IRMA Short‑term programme on project lifecycle, M&E
PGDSMA (Post‑Graduate Diploma in Statistical Methods & Analytics) Indian Statistical Institute, North‑East Centre (Tezpur) Advanced statistical modeling, ML, probability theory, time series < 2% acceptance rate – one of India's most selective programmes
BS in Data Science & Applications (pursuing) IIT Madras Computational thinking, ML foundations, deep learning, GenAI Online, flexible
M.Tech in CSE (pursuing) IIIT Guwahati Cloud computing, algorithms, ML, thesis Research‑oriented
FDP on Quantum Technologies AICTE - MNIT Joint Programme Completed a series of certification courses (QT‑3 to QT‑9) in Quantum Technologies and Applications

🔬 Research & Collaboration Interests

I am available for research collaborations, academic/industry assignments, and internship opportunities in the following areas:

  • Mathematical optimisation (LP, IP, MILP, MINLP, UP) for real‑world problems.
  • Quantitative finance – market data engineering, backtesting, signal research.
  • GenAI for research acceleration – LLM‑assisted analysis, prompt tooling.
  • MLOps and reproducible data science.

If you have a challenging problem that involves modelling, optimisation, or data‑driven decision making, let's talk.

🌱 Beyond the Code

  • Current Experiments: Actively breaking the Black‑Scholes model, researching Non‑Integer Programming (NIP), and practising advanced data structures in C.
  • Published Author: Contributor to OpenGenus IQ with articles on Pandas DataFrames and Multiple Instance Learning.
  • Certified: Data Science Math Skills (Duke University) and digital data collection for M&E (FICCI).

🤝 Let’s connect

“Optimisation is not just about finding the best answer – it's about understanding the trade‑offs that make an answer useful.”

Last updated: May 2026