## What Up!

“Be a Bayesian rather than an artist, it has a greater scope for imagination!”

I’m passionate about applied math like the topics of graph theory and network analysis and I have a knack for statistics and pattern recognition and it’s various applications in machine learning, especially computer vision and natural language processing. I also love solving problems in programming using various data structures and algorithms. Additionally, I cannot help but be interested in quantitative economics along with financial risk management. Apart from these, I love playing chess, football, table tennis and my ukulele.

Check out my personal page for more info!

### Education

**Indian Institute of Science Education and Research (IISER)**, Kolkata | 2018-2023

BS-MS in Mathematics and Statistics, Minor in Computer Science

**St. Columbas’s School** | New Delhi

### Courses

**Statistics** - Probability Theory, Descriptive Statistics, Numerical Analysis, Stochastic Processes, Statistical Inference, Econometrics, Linear Models, Multivariate Analysis, Time Series Analysis

**Mathematics** - Real Analysis, Linear Algebra, Functions of Several Variables, Abstract Algebra(-Group Theory, Ring Theory, Field Theory, Module Theory, Galois Theory), Topology, Algebraic Topology, Number Theory, Differential Geometry, Graph Theory, Ramsey Theory and Combinatorics, Measure Theory, Functional Analysis, Fourier Analysis, Ordinary and Partial Differential Equations

**Computer Science** - Data Structures and Algorithms, Numerical Methods, Machine Learning and Network Analysis, Information Retrieval

#### Technical Skills

C/C++, Python (+ Tensorflow, Sklearn, Keras), R, SAS, SPSS, Matlab, Bash, SageMath, Mathematica