Hello!

I'm Shreyak Mukherjee

Machine Learning Engineer

View Projects Contact Me

About

About Me

Machine Learning and Deep Learning enthusiast with a solid CS background and hands-on experience in building end-to-end intelligent solutions using Python, TensorFlow, PyTorch, and Scikit-learn. Skilled in computer vision, NLP, and predictive analytics, with expertise in model tuning, evaluation, and deployment using Streamlit, Flask, and Docker. Passionate about AI research, model development, and impactful innovation.

0 Projects completed

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Education & Experience

My Academic Background & Activities

My academic journey in Computer Science and hands-on experience in Machine Learning and AI-related initiatives.

Education

2022–2026

B.Tech in Computer Science & Engineering

Dr. B.C. Roy Engineering College, Durgapur

MAKAUT, West Bengal | CGPA: 8.4
Relevant coursework: Data Structures, Algorithms, AI, Machine Learning, DBMS

2022

Higher Secondary Education (10 + 2)

Durgapur Taraknath High School

WBCHSE Board |Percentage: 89% | PCMB

2020

Higher Secondary Education (10)

Durgapur Project Township Boys High School

WBCHSE Board | Percentage: 89.71%

Experience

13th December, 2024 - 24th Janury, 2025

Artificial Intelligence in collaboration with th All India Council for Technical Education (AICTE)

ML Trainee

Developed a sentiment classifier using TF-IDF and Random Forest, deployed via Streamlit for restaurant review system.

13th December, 2024 - 24th Janury, 2025

AI: Transformative Learning with TechSaksham - A joint CSR initiative of Microsoft & SAP, implemented by Edunet Foundation in collaboration with th All India Council for Technical Education (AICTE)

ML Trainee

Built a Streamlit app for image classification using a custom CNN and MobileNetV2 on CIFAR-10, enabling model selection and live predictions

Skills

My Skills

Technical skills and tools I've mastered in Machine Learning and Software Development

C

C

C++

C++

Python

Python

Java

Java

MySQL

MySQL

PyTorch

PyTorch

Scikit-learn

Scikit-learn

NumPy

NumPy

Pandas

Pandas

Matplotlib

Matplotlib

Seaborn

Seaborn

OpenCV

OpenCV

Azure

Azure

Docker

Docker

VS Code

VS Code

Jupyter

Jupyter

Colab

Colab

Power BI

Power BI

Projects

My Projects

Selected machine learning projects demonstrating my technical capabilities

GCN Project
Attention-Enhanced GCN with SPP

Attention-Enhanced GCN with SPP for UAV-Captured Plant Imagery

Engineered an attention-augmented Graph Convolutional Network (GCN) integrating EfficientNet-B0, ShuffleNetV2, and Spatial Pyramid Pooling (SPP) for real-time UAV-based plant disease identification..
Designed a hybrid architecture featuring multi-branch spatial feature fusion and graph-based relational reasoning for robust aerial image understanding.

View on GitHub
Sentiment Analysis
Sentiment Analysis of Restaurant Reviews

Sentiment Analysis of Restaurant Reviews

Developed a sentiment classifier using TF-IDF and Random Forest, deployed via Streamlit for restaurant review analysis with 85.5% accuracy.
Streamlined customer feedback workflows by automating sentiment insights, reducing the need for manual processing.

View on GitHub
Image Classifier
Image Classification Web Application

Image Classification Web Application

Built a Streamlit app for image classification using a custom CNN and MobileNetV2 on CIFAR-10, enabling model selection and live predictions, achieving 84.77% accuracy.
Developed an interactive interface supporting instantaneous inference, enhancing accessibility for non-technical users in practical scenarios.

View on GitHub

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Contact

Contact Me

Feel free to reach out for collaborations or opportunities

Location

Durgapur, West Bengal, India

Contact Number

+91 9832188947

Email Address

gmail.com

LinkedIn

linkedin.com