👋 Welcome to my portfolio

Anupam Subedi

ML Enthusiast & Full Stack Developer

Building intelligent systems with code and data

Anupam Subedi

About Me

Who I Am

Machine Learning enthusiast and Full Stack Developer specializing in real-world, data-driven projects. Passionate about building intelligent systems that solve practical problems including spam detection, sentiment analysis, and predictive modeling. Proficient in full-stack development with the MERN stack, combining ML expertise with web technologies to create end-to-end solutions. Dedicated to exploring cutting-edge machine learning techniques and transforming complex data into actionable insights and deployable applications.

Research Focus

Machine learning and data-driven systems with emphasis on practical applications

Current Status

Final-year BSc CSIT student | Strong academic foundation | Ready for collaborative research

Education

Bachelor of Science in Computer Science and Information Technology (BSc CSIT)

Amrit Science Campus, Lainchaur, Nepal

Feb 2022 – Feb 2026
Predicted Grade: First Class

Key Modules

Data Structures and Algorithms, Database Management Systems, Computer Networks, Machine Learning, Software Engineering

Dissertation

Spam Message Detection in Real-Time Chat Systems Using Machine Learning

National Education Board

Fluorescent Secondary School, Kathmandu, Nepal

Aug 2019 – Jun 2021

Subjects

Physics, Chemistry, Biology, Mathematics, English

Technical Skills

Programming Languages

PythonJavaScriptJavaC++

Machine Learning & Data Analysis

Data preprocessingClassificationRegressionModel evaluation

Libraries

TensorFlowKerasScikit-learnPyTorchNumPyPandasMatplotlib

Web Development

React.jsNext.jsNode.jsExpress.js

Databases

MySQLPostgreSQLMongoDB

Featured Projects

Connectify – Real-Time Chat Application with Spam Detection

MERN stack chat application with real-time spam detection

ReactNode.jsMachine LearningMongoDB

Video Sentiment Analysis System

Sentiment classification from video content using deep learning

PythonDeep LearningComputer Vision

Quick Stay – Hotel Booking Application

Full-stack hotel booking web application

Next.jsReactFull Stack

Machine Learning Prediction Projects

Collection of ML models for real-world predictions

PythonTensorFlowScikit-learn
  • ANN regression model for predicting electrical energy output of a Combined Cycle Power Plant
  • Breast cancer prediction
  • Heart disease prediction

Research Interests

Passionate about leveraging machine learning to solve real-world problems through predictive analytics and data-driven decision making.

Healthcare Predictions

Developing ML models for disease prediction including breast cancer detection and heart disease risk assessment, enabling early diagnosis and preventive healthcare.

Energy Optimization

Building ANN regression models to predict electrical energy output in Combined Cycle Power Plants, optimizing energy production and reducing waste.

Natural Language Processing

Creating spam detection systems for real-time chat applications and sentiment analysis from video content to understand user emotions and improve communication.

Predictive Analytics

Applying classification and regression techniques to diverse datasets, transforming raw data into actionable insights for informed decision-making.

Travel Gallery

Exploring the beautiful landscapes of Nepal 🏔️

Travel photo 1
Photo 1Click to expand
Travel photo 2
Photo 2Click to expand

Skills & Interests

Skills & Languages

Languages

Nepali (Native), English (Fluent), Hindi (Fluent)

Soft Skills

Teamwork
Leadership
Communication
Active Listening
Growth Mindset

Interests

ML Research
Reading
Running
Football
Cricket

Get in Touch

Have a question or want to work together? Feel free to reach out!