class HarshPatial:
def __init__(self):
self.role = "Data Science & ML Enthusiast"
self.location = "India 🇮🇳"
self.education = "B.Tech CSE @ VIT Bhopal"
self.cgpa = "8.81/10"
self.skills = [
"Machine Learning",
"Data Analysis",
"Model Building",
"Open Source"
]
self.focus = "Building reliable, data-driven systems"
def intro(self):
print("Always learning. Always building. 🚀")
me = HarshPatial()
me.intro() |
|
- 📊 Data Science & Machine Learning (practical, real-world datasets)
- 🤝 Open Source Contributions (SSoC)
- 🧠 Model Optimization & Evaluation
- 📚 Strengthening ML fundamentals + applied projects
| Project | Description | Tech |
|---|---|---|
| Smart Career Advisor | ML-based career recommendation system analyzing academic performance, skills, and interests. Achieved 93.3% accuracy using SVM, Decision Tree & XGBoost. | Python, Scikit-learn, XGBoost |
| Agentic Honey-Pot for Scam Detection | AI-powered honeypot API that detects scam messages, engages scammers using autonomous personas, extracts intelligence (UPI, phone, links), and reports results via API. | Python, FastAPI, Gemini AI, NLP |
| Campus Course Registration Management System | Java-based CLI system to manage student registrations, enrollments, and academic records using OOP principles. | Java, OOP, File I/O |
| Disease Outbreak Prediction (Internship) | Built an end-to-end ML pipeline to predict disease outbreaks with 92% accuracy on 10k+ records. | Python, ML, Data Processing |
-
Social Summer of Code (SSoC) — Project Contributor ▸ Improved project efficiency by 20% through optimized contributions ▸ Reduced bugs by 25% via structured GitHub reviews
-
AI Intern — AICTE TechSaksham (Microsoft & SAP) ▸ Built and evaluated ML models achieving 92% accuracy ▸ Worked on data preprocessing & feature engineering for large datasets
- Data Science Professional – Oracle
- Generative AI Professional – Oracle
- AI Foundation Associate - Oracle
- Cloud Computing – IIT Kharagpur
- Google IT Support -- Google
