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Hi, I'm Rudradeb Nandi.

A passionate |

About Me

Hello! I'm Rudradeb Nandi, a passionate Software and Machine Learning Engineer with a drive for building intelligent, data-driven, and user-centric applications. My journey in tech began with a fascination for how algorithms work, evolving into a mission to craft impactful solutions through code and data.

I specialize in Python development, machine learning and full-stack web applications using tools like Scikit-Learn, SQL, Django, Flask, and PostgreSQL to build smart and scalable systems. One of my recent projects involved developing a robust e-commerce platform with Django and PostgreSQL, which improved backend performance by 40% and streamlined the checkout experience.

I’ve also built a CLI-based Financial Management System in Python that increased budgeting accuracy by over 50% for test users, and a Lymphography prediction using Explainable AI (LIME) to enhance transparency in predictions.

When I’m not coding, you’ll find me experimenting with new ML models, working on open-source ideas, or diving into a good book. I'm excited about collaborating on innovative projects and bringing smart systems to life!

About Rudradeb Nandi

My Skills

Python
Django
SQL
Pandas Logo Pandas
NumPy Logo NumPy
Scikit-learn Logo Scikit-learn
Matplotlib Logo Matplotlib
Seaborn Logo Seaborn
TensorFlow Logo TensorFlow
Jquery Logo JQuery
Java
JavaScript
Git
HTML5
CSS3

My Projects

Project 1

Lymphography Prediction Using XAI

Classified lymphography data using Random Forest with preprocessing (scaling, ADASYN). Evaluated with cross-validation and metrics (Accuracy, F1, MCC, Kappa). Used LIME for local model explainability.

Python XAI Pandas Scikit-Learn
Project 2

Ecommerce Platform

Built a full-stack e-commerce platform with secure authentication, product management, and real-time order tracking - achieving 30% faster page load times and 20% improvement in database query performance through backend optimization and efficient API design.

Python PostgreSQL Django Bootstrap Git

Project 2

Personal Finance App

A Python-based CLA(Command Line Application) personal finance tracker that helps users manage income, expenses, and budgets. Features include transaction logging, budget monitoring, report generation, and unit testing. Data is stored locally using SQLite for easy access and portability.

Python SQLite unittest Git

Project 3

Emotion Detection Model

Built an NLP-based text classification model using TF-IDF and Logistic Regression for emotion prediction from textual data. Applied text analytics techniques for preprocessing and deployed a local demo with real-time user input, without external APIs.

Python Scikit-Learn NLP NeatText Seaborn TextBlob TF-IDF

Get in Touch

I'm currently open to new opportunities and exciting collaborations. Whether you have a project in mind, a question, or just want to say hi, feel free to reach out!