class Shylesh:
name = "Shylesh S"
role = "Data Scientist & ML Engineer"
location = "India 🇮🇳"
interests = [
"Machine Learning & Deep Learning",
"Natural Language Processing (NLP)",
"Computer Vision",
"Data Visualization & Storytelling",
"MLOps & Model Deployment"
]
currently_learning = ["LLMs & Generative AI", "Reinforcement Learning", "MLOps"]
open_to = ["Collaborations", "Research Projects", "Open Source"]
fun_fact = "I speak Python fluently — data is my mother tongue 🐍📊"
def say_hi(self):
print("Thanks for visiting! Let's build something awesome with data! 🚀")
me = Shylesh()
me.say_hi()🐍 Languages
🤖 ML / DL Frameworks
📊 Data & Visualization
☁️ Tools & Platforms
🏅 GitHub Achievements
🦅 Pair Extraordinaire · 🦈 Pull Shark · ⚡ Quickdraw · 🎯 YOLO
My most impactful data science & ML projects — click any to explore!
| 🚀 Project | 📝 Description | 🛠️ Stack |
|---|---|---|
| ⚡ FastAPI-app | Production-ready REST API backend — ⭐ 33 stars | Python FastAPI |
| 🌐 Django-Project | Full-stack web application built with Django | Python Django |
| 💊 Phrama-Ai | AI-powered pharmaceutical assistant | Python AI/ML |
| 🌊 Aquascan | Water quality analysis & scanning system | Python CV |
| 🎬 netflix-movie-pandas | Netflix dataset EDA & insights — ⭐ 4 stars | Python Pandas |
| 🏠 House-Prices-Regression | Kaggle House Prices — Advanced Regression | Python Sklearn |
Projects I've contributed to alongside the community
| 🗂️ Repository | 💡 My Contribution | ⭐ Stars |
|---|---|---|
| Kosaksi-Pasapugazh-and-experiments | Forked & contributed experiments in Jupyter Notebook |  |
| Add Collab Repo | e.g., Improved model accuracy by 18% using ensemble methods |  |
| Add Collab Repo | e.g., Deployed real-time prediction dashboard using Streamlit | |
- 🤖 Built end-to-end ML pipelines — from raw messy data to deployed predictions
- 🌐 Developed Phrama-Ai — an AI-powered healthcare assistant project
- 🐋 Built a production-ready FastAPI app with 8 ⭐ stars on GitHub
- 📊 Performed EDA on Netflix & Google Play Store datasets with real insights
- 🏠 Applied Advanced Regression Techniques on the classic Kaggle House Prices dataset
- 🚀 Experienced in the full ML lifecycle: EDA → Modelling → Evaluation → Deployment
- 🏅 Earned GitHub achievements: Pair Extraordinaire · Pull Shark · Quickdraw · YOLO
⭐ From Shylesh1640 — Data is not just numbers, it's a story waiting to be told 📖