About Me

I am a PhD student of Computer Science at The University of Iowa advised by Dr. Bijaya Adhikari. I also am a part of the Computational Epidemiology research group and the AlgoEpi Reading Group that discusses techniques and methods about algorithms, data mining, and Machine Learning that can be applied to problems related to the spread of infections.

Research Interest

My primary interests lie in the intersection of Machine Learning and Deep Learning with applications in Finance and Healthcare. Currently, I am exploring the domain of Epidemiological Modelling and am trying to also learn Graph Neural Networks and Graph Convolutional Networks. My primary programming language is Python and I have good knowledge of Tensorflow and PySpark. I also have a fair bit of experience in model risk validation for Financial Institutions during my stint as a Consultant at Solytics Partners LTD

My Journey

22nd September, 2022: I passed my Qualifier Examination! My Report and Presentation is located here.

January, 2022: Finally started a new journey as a PhD Student and a Graduate Research Assistant at the University of Iowa.

August-December, 2021: Data Scientist at Data Sutram.

May-August, 2021: Data Scientist (Consultant) at Solytics Partners LTD.

February-April, 2021: Research Analyst at Counterpoint Research.

January, 2020- February, 2021: Intern at Solytics Partners LTD.

September, 2021: Graduated with First Class (2nd in class) with M.Sc in Mathematics with Data Science from Institute of Mathematics and Applications Bhubaneswar, India.

June, 2019: Graduated with First Class with Distinction with B.Sc in Mathematics and Computing from Birla Institute of Technology Mesra, India.

May-June, 2019: Selected for the Summer School in Quantitative Finance at Chennai Mathematical Institute, India.

May-August, 2018: Awarded the prestigious Summer Research Fellowship by the Indian Science Academies to work at Indian Statistical Institute, Kolkata, India.

June, 2016: Finished schooling from St. Xavier's Collegiate School, Kolkata, India.


Choudhuri, A. (2023). A Hybrid Machine Learning Model for Estimation of Obesity Levels. In: Goswami, S., Barara, I.S., Goje, A., Mohan, C., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. ICDMAI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 137. Springer, Singapore. https://doi.org/10.1007/978-981-19-2600-6_22.

Other Interests

I was a serious scrabble player as a kid but now just play it for fun. I am an avid reader of the non-fiction genre, with Jefferey Archer, Amitav Ghosh and Saradindu Gangopadhyay being some of my favourite authors. I love to sing and used to have an acoustic music band called Tritiyo Purush back while I was pursuing my undergraduate degree. I also love to play table tennis and badminton (although I am not good at them).

Recent Works

Delivery Management Systems Optimization

This work is my current project where I have devised the optimal rider-order allocation algorithm and optimal path for each rider.

User Automated ANN for Binary Classification

I had delivered a talk at a weekly seminar at IMA Bhubaneswar. The presentation and codes are present here.

Binning for Scorecard Modelling

This work is a user automated binning of continuous and categorical columns for a given dataset.


This project is a demo representation of performance comparison of champion-challenger models on new data.

Google Foobar Challenge Submissions

This is a passion of mine, where I try finishing Foobar challenges in my free time.

Exploratory Data Analysis on a Dataset

This Github repo contains some EDA steps which may be used for any given dataset. This was done during my work at Solytics.

Need something from me?

Feel free to reach out to me. I will get back to you as soon as possible.