What Up!
“Be a Bayesian rather than an artist, it has much more scope for imagination!”
I am deeply passionate about statistics and love exploring applied math topics such as graph theory and network analysis. My talent lies in statistics and probabilistic ML, and I’m particularly interested in the practical applications of ML, especially in computer vision and natural language processing.
As a dedicated researcher with a deep understanding of statistics and geometry, I believe that by combining my skills in programming with my knowledge of statistics, I can create innovative products that solve real-world problems.
In addition to my academic and professional pursuits, I enjoy staying active through sports like chess, football, and table tennis. And when I’m looking for a more relaxed hobby, I love strumming my uke!
Education
Indian Institute of Science Education and Research (IISER), Kolkata | 2018-2023
BS-MS in Mathematics and Statistics, Minor in Computational and Data Sciences
St. Columbas’s School , New Delhi
Physics, Chemistry, Mathematics, Computer Science
Courses
Statistics - Probability Theory, Descriptive Statistics, Stochastic Processes, Measure Theoretic Probability, Statistical Inference, Applied Micro-Econometrics, Linear Models, Multivariate Analysis
Mathematics - Real Analysis, Linear Algebra, Geometry of Curves and Surfaces, Differential Geometry, Abstract Algebra (Group Theory, Ring Theory, Field Theory, Galois Theory), Topology, Graph Theory and Combinatorics, Measure Theory, Functional Analysis, Ordinary Differential Equations, Partial Differential Equations
Computer Science - Data Structures and Algorithms, Numerical Methods, Information Retrieval, Machine Learning and Network Analysis, Search Methods in AI
Technical Skills
C/C++, Python (+ PyTorch, Sklearn), R, Bash