“I didn’t do this because it was easy—I did it because I thought it would be easy.”
— by my sleepless nights

About Me

Personal Details

Date of Birth: May 6, 2004

Location: Barrackpore, West Bengal, India

Languages: English, Hindi, Bengali

Email: ASMIT.BANDYOPADHYAY2022@iem.edu.in / asmitbandyopadhyay08@gmail.com

Phone: +91 877 757 8276

8.30
CGPA
2026
Graduation
5+
Certifications
3+
Major Projects

Area of Interest

  • Machine Learning
  • Deep Learning
  • Large Language Models
  • Problem-solving using C & Python Programming
  • Probability Theory & Stochastic Processes
  • Time Series Analysis & Forecasting
  • Mathematical Finance
  • Graph Theory

Education

2022 - 2026

Bachelor of Technology (CSE)

Institute of Engineering and Management, Kolkata

CGPA: 8.30 (up to 6th semester)

2022

XII-th (WBCHSE)

Barrackpore Government High School

Score: 90.8%

2020

X-th (WBBSE)

Barrackpore Government High School

Score: 92.43%

Relevant Coursework

Skills & Technologies

Programming Languages

C Python Oracle SQL MATLAB

Machine Learning

Pandas NumPy Matplotlib Scikit-Learn TensorFlow PyTorch Keras HuggingFace

AI Specializations

Large Language Models Computer Vision Federated Learning Differential Privacy Multimodal AI Agentic AI RAG Prompt Engineering

Tools & Platforms

MS Office (Word, Excel, PowerPoint) LaTeX GitHub Linux VS Code Google Colab

Certifications

Python for Data Science

NPTEL

Time Series Modelling

NPTEL

Google Cloud Computing

NPTEL

Machine Learning Intro

Coursera

Big Data Computing

NPTEL

MATLAB Onramp

MathWorks

Featured Projects

Data visualization for bank churn prediction model

Bayesian Tree Structured Parzen Estimator

Developed a bank customer churn prediction model using 12 machine learning algorithms. Built an ensemble model using Stacking Classifier achieving ROC-AUC score of 0.9894 (+/- 0.0041). Applied LIME for model interpretability.

Python Random Forest XGBoost LIME Ensemble Learning
AI-driven hate speech detection interface

Multimodal Hate Speech Detection

Multimodal LLM Federated Learning LoRA
Product review analysis dashboard

DpFedLlmCI Framework

Large Language Models Multi-task Learning Privacy-Preserving AI
MRI scan for brain tumor classification

Brain Tumor MRI Classification

Utilized advanced deep learning models including YOLO11, ConvNext-v2, Vision Transformer, and EfficientNet v2 for brain tumor classification using MRI scans with transfer learning optimization.

Computer Vision YOLO Vision Transformer Transfer Learning Medical AI
Obstacle-avoiding robot prototype

Obstacle Avoiding Robot

Built an obstacle-avoiding robot using Arduino IDE that can detect obstacles and maneuver around them without collisions. Published research paper on the design and implementation.

Arduino Robotics Sensors Embedded Systems Published Paper

Experience & Achievements

May - July 2025

Research Intern - ISI Kolkata

SQC & OR Unit | Supervisor: Dr. Tanmay Sen

Explored Multimodal Large Language Models with specialization in Parameter-Efficient Fine-Tuning (LoRA), Federated Learning, and Differential Privacy.

2023

International Study Program

National University of Singapore

Participated in study program on "Artificial Intelligence, Internet of Things, Machine Learning & Data Analytics" - Fundamentals.

Get In Touch

Contact Information

Email

ASMIT.BANDYOPADHYAY2022@iem.edu.in

Phone

+91 877 757 8276

Location

Barrackpore, West Bengal, India

GitHub

github.com/Bandyopadhyay-Asmit

LinkedIn

linkedin.com/in/asmit-bandyopadhyay-5372a825a

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