Avik Pramanick

About Me

I'm a passionate Data Scientist with a M.Tech from IIT Kharagpur (8.93/10 CGPA) and 5+ years of industry experience. My expertise spans Machine Learning, Deep Learning, and Distributed Systems.

I've successfully processed over 5 million nucleotide sequences, built scalable database systems handling 1 million operations/second, and developed AI models achieving 97.4% accuracy.

Currently, I'm focused on bioinformatics applications and have co-authored research published on bioRxiv for personalized cancer vaccine design.

M.Tech in Computer Science & Engineering

Indian Institute of Technology, Kharagpur

2025 • CGPA: 8.93/10

Coursework: Machine Learning, Deep Learning, Complex Network, Data Analytics, Distributed Systems

B.Tech in Computer Science & Engineering

Govt. College of Engineering and Textile Technology, Serampore (MAKAUT)

2016 • CGPA: 8.44/10

Publications & Research

bioRxiv Preprint • 2025

Published

DeepPROTECTNeo: A Deep learning-based Personalized and RV-guided Optimization tool leveraging TCR Epitope interaction using Context-aware Transformers

Authors: Debraj Das, Soumyadeep Bhaduri, Avik Pramanick, Pralay Mitra

Research Focus: Developed a transformer-based deep learning pipeline for personalized cancer vaccine design, leveraging TCR-epitope interactions for optimized neoepitope selection and therapeutic efficacy prediction.

Deep Learning Transformers Cancer Immunotherapy Personalized Medicine Bioinformatics

View on bioRxiv Live Web Server

DOI: 10.1101/2025.01.04.631301

Research Impact

Contributing to personalized cancer immunotherapy through AI-driven neoepitope discovery

Practical Application

Developed and deployed web server for researchers worldwide

Technical Innovation

Novel transformer architecture for TCR-epitope interaction modeling

Professional Experience

Assistant Engineer (IT&C)

West Bengal State Electricity Distribution Company Limited

December 2017 - July 2023

Analyzed billing and electricity demand data for 1,00,000+ consumers, resolving disputes and ensuring accurate bill generation
Conducted electricity consumption analysis identifying high-demand areas, developing strategies that increased revenue by 30%
Collaborated with cross-functional teams implementing data-driven solutions, optimizing processes to improve collection rates by 27%

Key Projects

TSS Signals Classification & CAGE Peaks Prediction

M.Tech Project - Prof. Pralay Mitra, IIT Kharagpur

April 2024 - November 2024

Processed 5,23,329 nucleotide sequences from hg19 genome and CAGE peak data. Built a Bi-LSTM model achieving F1 Score of 79.43%. Developed two web servers for TSS prediction and neoepitope discovery for personalized cancer vaccines.

TSS Prediction Server DeepPROTECTNeo Server

Replicated Database with Write-Ahead Logging (WAL)

Distributed Systems Project - Prof. Sandip Chakraborty

February 2024 - April 2024

Designed sharded database system with WAL ensuring 98% state recovery, increasing throughput by 40% and reducing downtime by 95%. Built custom load balancer with consistent hashing handling 1 million operations/second.

Fake News Detection Using ML & Deep Learning

Design Lab Project - Prof. Niloy Ganguly & Prof. Mainack Mondal

February 2024 - April 2024

Built comprehensive ML/DL models (Logistic Regression, KNN, SVM, DNN, CNN, LSTM, BERT) for COVID-19 post classification, achieving up to 97.4% accuracy on 10,600+ sample dataset.

Automatic Image Captioning

Deep Learning Term Project - Prof. Pawan Goyal

February 2024 - April 2024

Developed CNN-based encoder (ResNet50) and LSTM decoder for caption generation. Achieved ROUGE-L: 0.269, CIDEr: 0.028, SPICE: 0.090 using Vision Transformers.

Technical Skills

Programming

Python, C, Java

ML/DL Frameworks

TensorFlow, PyTorch, NumPy, Pandas

Tools & Technologies

Docker, Git, Tableau, Flask

Databases

SQL, NoSQL

Get In Touch

Email

[email protected]

Phone

+91 8981230167

LinkedIn

linkedin.com/in/avik-iitian

GitHub

github.com/Avikg