Open to Data Science & Machine Learning Internship Opportunities

Prajwal
Subedi

// Computer Engineering Student • Data Science & Machine Learning Enthusiast

I'm a Computer Engineering student from Nepal passionate about building machine learning applications and solving real-world problems with data. Over the past year, I've developed projects in customer churn prediction, recommendation systems, retail analytics, and data visualization while continuously documenting my learning through technical writing and educational content.

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6+ Projects Built
2+ Years Learning
15+ Technologies Used
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Prajwal Subedi
Who I Am

Building Intelligent Solutions
Through Data & Machine Learning

Hi, I'm Prajwal Subedi, a Computer Engineering student from Nepal with a strong interest in Data Science, Machine Learning, and Artificial Intelligence. I enjoy transforming raw data into meaningful insights and building practical solutions that solve real-world problems.

Over the past year, I've been developing end-to-end data science projects, including recommendation systems, customer churn prediction, retail analytics, and machine learning algorithms from scratch. Every project helps me strengthen both my technical skills and my problem-solving approach.

Beyond building projects, I believe in learning publicly and sharing knowledge. Through technical writing and my educational initiative Inflectaa, I simplify complex Data Science and AI concepts to help students and aspiring developers learn more effectively.

Machine Learning
Data Analysis
Feature Engineering
Video Editing
Technical Writing
EDA & Statistics
Educational Content
Capabilities

Technical Skills & Technologies

A growing toolkit built through hands-on projects, continuous learning, and solving real-world data science problems.

📊

Data Science

Python Pandas NumPy EDA Matplotlib Seaborn RFM Segmentation Business Insights Data Cleaning
🤖

Machine Learning

Scikit-learn Regression Classification Feature Engineering Recommendation Systems Model Evaluation
🛠️

Databases & Tools

Git GitHub SQLite MySQL Jupyter Notebook Google Colab VS Code
💻

Development

HTML CSS JavaScript Node.js Express.js FastAPI Streamlit
🎥

Creative & Communication

DaVinci Resolve Technical Writing Content Creation Storytelling Public Learning
Portfolio

Featured Data Science Projects

A collection of end-to-end projects demonstrating machine learning, data analysis, recommendation systems, and software development through practical applications.

01 — MACHINE LEARNING

Movie Recommendation System

Built a content-based movie recommendation system using cosine similarity and metadata feature engineering. Developed an interactive Streamlit application integrated with the TMDB API to recommend similar movies along with posters and movie information.

Python Scikit-learn Streamlit TMDB API
Code Live
01 — DATA SCIENCE

Telco Customer Churn Analysis

Analyzed telecom customer data to identify patterns behind customer churn using Python, Pandas, and Seaborn. Applied EDA and ML classification models to predict at-risk customers with high accuracy.

Python Pandas Scikit-learn
Code
02 — EDA

Exploratory Data Analysis Projects

A series of EDA projects exploring real-world datasets — uncovering trends, distributions, and actionable insights through rich visualizations using Matplotlib and Seaborn.

Python NumPy Matplotlib
Code
03 — DATA ANALYTICS

Retail Analytics Dashboard

Designed an end-to-end retail analytics pipeline by cleaning transactional data, performing RFM segmentation, storing processed data in SQLite, and building an interactive Streamlit dashboard for business insights.

Python SQLite Streamlit RFM
Code
04 — MACHINE LEARNING

Gradient Descent from Scratch

Implemented Linear Regression and Gradient Descent from scratch using only NumPy to understand optimization, learning rate, convergence, and parameter updates without relying on machine learning libraries.

Python NumPy Optimization
Code
View More Projects on GitHub
Timeline

Learning Journey

My journey of continuously learning, building real-world projects, and growing as an aspiring Data Science and Machine Learning Engineer.

2024

Started My Data Science Journey

Began learning Python for Data Science, SQL, statistics, and data analysis while building a strong foundation in programming and analytical thinking.

2024 – 2025

Explored Data Analysis & Machine Learning

Worked on exploratory data analysis, feature engineering, machine learning algorithms, and customer churn prediction using real-world datasets.

2025

Built End-to-End Data Science Projects

Developed projects including a Movie Recommendation System, Retail Analytics Dashboard, and Machine Learning applications using Streamlit, FastAPI, and SQLite.

2025 – Present

Technical Writing & Knowledge Sharing

Started documenting concepts, project learnings, and practical implementation of Data Science and Machine Learning through technical writing.

2025 – Present

Building Inflectaa

Creating educational content to simplify Artificial Intelligence, Machine Learning, and Data Science concepts through videos, visual storytelling, and practical examples.

Present

Currently Learning

Expanding my knowledge in Machine Learning, FastAPI, recommendation systems, Power BI, and modern AI technologies while building increasingly production-ready applications.

Knowledge Sharing

Technical Writing

I believe the best way to learn is by explaining concepts to others. Through technical articles, I document my learning journey, break down complex topics, and share practical insights from the projects I build.

Gradient Descent

Understanding Gradient Descent

A beginner-friendly explanation of Gradient Descent, learning rate, convergence, and Linear Regression from scratch.

Read Article →
Customer Churn

Building a Customer Churn Prediction Model

Complete walkthrough from preprocessing to deployment using Streamlit.

Read Article →
Recommendation System

How a Movie Recommendation System Works

Learn cosine similarity, feature engineering and content-based recommendation systems.

Read Article →
Educational Initiative

Building Inflectaa

Learn. Build. Share. Inspire.

Inflectaa

Making AI & Data Science Practical

Inflectaa is my educational initiative dedicated to simplifying Artificial Intelligence, Machine Learning, Data Science, and software development through practical projects, technical writing, and visual storytelling.

AI & ML
Data Science
Projects
Technical Writing
Tutorials
Community
Visit Inflectaa YouTube
Let's Connect

Get in Touch

Let's build something together

I'm always open to discussing new projects, data science challenges, creative collaborations, or opportunities to be part of something exciting.

[email protected] LinkedIn — Prajwal Subedi GitHub — prajwalsubedi Kaggle Inflectaa Medium Blog