class Piyush:
"""A passionate Data Science student 🧪"""
def __init__(self):
self.name = "Piyush Ramteke"
self.role = "Data Science Student"
self.stack = ["Python", "ML", "Flask", "SQL"]
self.interests = ["AI", "GenAI", "Data Analytics"]
def current_focus(self):
return [
"🔬 End-to-end ML projects",
"🧠 GenAI & RAG pipelines",
"🚀 Model deployment",
]
me = Piyush()
print(f"Hi! I'm {me.name} 👋")🎓 Data Science student with a strong foundation in Python & ML
📊 Experienced in data analysis, visualization & predictive modeling
🧠 Passionate about AI, analytics & data-driven decisions
🔬 Currently exploring GenAI, RAG & Model Deployment
🛠️ Building real-world, industry-ready projects
⚡ Fun fact: I believe data tells the best stories!
|
|
| Project | What It Does | Built With | |
|---|---|---|---|
| 🥇 | Airline Passenger Satisfaction | ML model predicting passenger satisfaction |    |
| 🥈 | Healthy Life Expectancy | Analysis of global life expectancy trends |   |
| 🥉 | TCS Stock Data | Live stock data visualization via APIs |  |
| 🏅 | Uber Trip Analysis | EDA uncovering trip patterns & demand |   |
| 🏅 | Portfolio Website | Modern retro-themed personal portfolio |    |
| 🏅 | CodSoft Internship | Data Science internship projects & tasks |  |
| ⚜️ AI & Generative AI | ⚜️ Data Science & Python |
|---|---|
   
|
 
|
| 🎯 Area | 📖 Topics | 📈 Progress | |
|---|---|---|---|
| 📊 | Data Science | Data Cleaning · EDA · Feature Engineering |  |
| 🐍 | Python | NumPy · Pandas · Advanced Visualization |  |
| 🤖 | Machine Learning | Supervised · Unsupervised · Evaluation |  |
| 🧠 | Artificial Intelligence | LLM Basics · AI APIs · RAG Pipelines |  |
| 🎯 | Career Prep | ATS Resume · Internship Projects · Portfolio |  |
╔══════════════════════════════════════════════════════════╗
║ 🚀 2026 GOALS 🚀 ║
╠══════════════════════════════════════════════════════════╣
║ 🔬 Build 5+ end-to-end ML projects ██████░░ 75% ║
║ 📝 Publish data science case studies █████░░░ 60% ║
║ 🏆 Compete on Kaggle ████░░░░ 50% ║
║ 🌐 Deploy ML models to production ███░░░░░ 40% ║
║ 🤝 Contribute to open-source ██░░░░░░ 25% ║
╚══════════════════════════════════════════════════════════╝
| Goal | Status | Progress |
|---|---|---|
| 🔬 Build 5+ end-to-end ML projects |  |
|
| 📝 Publish data science case studies |  |
 |
| 🏆 Participate in Kaggle competitions |  |
|
| 🌐 Deploy ML models to production |  |
 |
| 🤝 Contribute to open-source projects |  |
 |
