Mathematics · Data Science · Complex Systems
Postgraduate in mathematics and data science with hands‑on experience in applied machine learning, time‑series modeling, and complex networks. Working at the intersection of research and engineering to solve real-world problems.
Academic foundation to professional growth in data science
Dr. B.R. Ambedkar University Delhi (AUD) • New Delhi
Pursued an interdisciplinary liberal arts education combining mathematical rigor with social sciences and humanities. Received semester-wise merit scholarships for academic distinction (Top 5 rankers). This unique program provided a strong foundation in mathematical theory while fostering critical thinking about the social implications of quantitative methods.
Institute of Mathematics and Applications • Bhubaneswar, Odisha
Awarded NBHM scholarship for academic excellence (Top 3 rankers). Founded and served as Head Coordinator of the Data Science Society, promoting interdisciplinary collaboration and technical workshops. This advanced program bridged pure mathematical theory with cutting-edge data science applications, providing rigorous training in both theoretical foundations and practical implementations.
SmartHelio (YC-22) • Noida, Uttar Pradesh
Joined as the 7th hire at this Y Combinator-backed cleantech startup, scaling analytics infrastructure during rapid growth. Evolved through three progressive roles from individual contributor to technical team lead, driving development of predictive analytics algorithms across system fault detection, performance degradation, and environmental forecasting. Currently leading a team of 5 data scientists and analysts in architecting a next-generation fault detection engine, achieving 30% runtime optimization and enhanced predictive accuracy. Developed LLM-based internal reporting automation and established test-driven development practices across the data science organization.
I'm driven by a deep interest in how data shapes knowledge, decisions, and infrastructure. I enjoy working at the intersection of research and engineering, where algorithms meet real-world systems to solve practical problems.
I'm passionate about understanding and developing intelligent systems at the intersection of society, data, and science.
Reading across technology, society, philosophy, and mathematics, with a focus on the epistemology of data and the science-society interface.
I'm inclined towards studying complex dynamical systems around humans, urban environments, and emerging technologies through networks and data-driven approaches.
What connects all these interests is a fascination with emergence — how simple rules and interactions give rise to complex behaviors and patterns. Whether it's in technological systems, social structures, or natural phenomena, I'm drawn to understanding how complexity arises from simplicity and how we can leverage this understanding to build better systems and make more informed decisions.