Anubrata Singharoy - Data Scientist & Mathematics Researcher

About Me

“Mathematics is the language of the universe and data science is the key to unlocking its secrets.”

I’m a passionate data science explorer and math enthusiast, having recently completed my M.Tech in Data Science at IIT Palakkad. As an IISc‑ICASSP’25 Research Fellow and IEEE SPS member, I engage deeply with theoretical work and peer discourse — having attended ICASSP 2025. My core interests span sparse modeling, signal processing, stochastic matrix estimation via matrix‑vector techniques, computational mathematics, and cryptographic algorithms.

Indian Institute of Technology Palakkad

2023–2025

M.Tech in Data Science

CGPA: 8.14/10.0

Ramakrishna Mission Vivekananda Educational & Research Institute

2019–2021

M.Sc in Mathematics

CGPA: 9.71/10.0 (First Class First)

The University of Burdwan

2015–2018

B.Sc in Mathematics (Honours)

Overall Percentage: 67.75%

Technical Skills

Python

SQL

Data Visualization

Machine Learning

MATLAB

LaTeX

My amazing M.Tech batch at IIT Palakkad

Research Experience

IISc ICASSP 2025 Fellowship

Apr 2025 – May 2025

Matrix Estimation via Matrix-Vector Multiplication

Developed a stochastic determinant estimation technique using Hutchinson’s trace estimator combined with Krylov subspace acceleration. Focused on numerical stability and efficient computation of matrix traces and determinants for large-scale problems.

Achievements & Certifications

IEEE ICASSP 2025 Fellowship Recipient
Deep Learning Specialization – Coursera (Andrew Ng)
Chess: 4th place, IIT Palakkad General Championship (2024, 2025)
Qualified CSIR NET JRF -December 2023 (AIR 121)
First Class First in M.Sc Mathematics, RKMVERI
Ph.D. admission offer in Applied Mathematics, UMBC, USA (May 2021)
Qualified GATE Mathematics 2021 (AIR 215)
Qualified IIT JAM MA 2019 (AIR 223)
Anant Scholar, Anant Education Initiative (2012–2014)

Publications & Conference Attendance

Conference: IEEE ICASSP 2025 – Attended as an IISc-ICASSP Fellowship Recipient
Under Preparation: Research paper on coherence reduction techniques in sparse modeling

Research & Projects

Ongoing

Master's Thesis: Coherence Reduction in Sparse Modeling

Jul 2024 – May 2025

Developed novel methodologies for coherence reduction in sparse signal recovery problems. Investigated applications of Hadamard transforms in improving reconstruction accuracy.

Sparse Modeling Signal Processing Research

Ongoing

Matrix Estimation Through Matrix-Vector-Multiplication

Apr 2025 – May 2025

Working on matrix estimation techniques using efficient computational approaches as part of IISc-ICASSP Fellowship.

Matrix Estimation Computational Mathematics Research

Completed

Text Summarization Project

Feb 2024 – Apr 2024

Developed sequence-to-sequence models with attention mechanisms. Implemented PEGASUS, BART, GPT-2, and T5 on CNN/DailyMail and Samsung datasets.

NLP Deep Learning Python

Completed

Phoenix Skyways Airline Passenger Analysis

Jan 2024 – May 2024

Analyzed factors influencing passenger satisfaction using survey and flight data. Built predictive models to optimize airline services.

Data Analysis Machine Learning Business Intelligence

Completed

IPL Insights (2008–22)

Sep 2023 – Nov 2023

Created an IPL analytics dashboard with role-based access and CSV data processing. Delivered key statistics and player/team visualizations.

Sports Analytics SQL Visualization

Completed

Heart Attack Risk Prediction

Oct 2023 – Nov 2023

Implemented classification models to assess cardiovascular risk using patient data. Focused on feature engineering and hyperparameter tuning.

Healthcare Machine Learning Predictive Modeling

Blog & Updates

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Contact & Connect

Email 142302012@smail.iitpkd.ac.in

Location Barddhaman, West Bengal, India

Phone +91-9064519021