🎓 AI/ML Enthusiast • 🐍 Python Developer • 🛠️ Open-Source Contributor
Python developer focused on building ML-powered tools that solve real-world problems. I enjoy building tools, exploring ML workflows, and contributing to open-source communities. Currently sharpening my ML skills, building hands-on projects, and open to AI/ML internship opportunities.
- Sharpening core Python & ML skills through hands-on projects
- Contributing to impactful open-source repositories
- Preparing for internship/full-time opportunities in AI/ML roles
-
🎬 Movie Recommendation System
- Built a collaborative filtering-based recommender system that suggests movies based on user preferences.
View Repo
- Built a collaborative filtering-based recommender system that suggests movies based on user preferences.
-
📰 Fake News Detection using Logistic Regression
- Binary text classifier to detect fake news articles using NLP and logistic regression - helps identify misinformation efficiently.
View Repo
- Binary text classifier to detect fake news articles using NLP and logistic regression - helps identify misinformation efficiently.
-
💳 Credit Card Fraud Detection
- Trained a logistic regression model to detect fraudulent transactions with strong precision, reducing false positives in real-world datasets.
View Repo
- Trained a logistic regression model to detect fraudulent transactions with strong precision, reducing false positives in real-world datasets.
-
🤖 Auto-Reply Chatbot (OpenAI + PyAutoGUI)
- Fully automated WhatsApp reply bot using OpenAI GPT-3.5 Turbo for smart, sarcastic, or context-aware replies - includes custom logic for specific contacts.
View Repo
- Fully automated WhatsApp reply bot using OpenAI GPT-3.5 Turbo for smart, sarcastic, or context-aware replies - includes custom logic for specific contacts.
⭐ If you find my projects helpful, feel free to give them a star!
Languages & Frameworks
ML & Data Science Tools
Platforms & Tools
IDEs & Dev Tools
🔢 NumPy - Fixed formatting in NEP 49 and NEP 38 documentation PR #29347
⚙️ Prefect - Added official Docker Compose setup documentation PR #18509
🐍 CPython - Improved documentation for codecs.escape_encode() and codecs.escape_decode()
PR #136314
⚙️ The Algorithms – Python - Added recursion examples: factorial, Fibonacci, and sum of digits PR #12834
🎛️ Gradio - Used inspect.getdoc to inherit parent method docstrings in get_function_description
PR #11607
📦 Ray - Handled missing 'chunks' key when Databricks UC query returns zero rows
PR #54526
|
|
|
⭐ Thanks for visiting - more AI/ML content coming soon!