## 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