class Sumersing_patil:
def __init__(self):
self.name = "Sumersing Patil"
self.role = "Data Analyst | Python Developer | AI/ML Developer"
self.location = "Pune, India 🇮🇳"
self.education = "B.Tech in Artificial Intelligence, G H Raisoni Institute of Business Management, Jalgaon"
self.status = "Actively Seeking Opportunities in Data Analyst & AI/ML"
self.skills = ["Machine Learning", "Data Analysis", "Python", "SQL"]
def current_focus(self):
return {
"learning": ["ML", "HTML/CSS", "Power-BI"],
"building": ["AI Recommendation Systems", "Data Solutions"],
"goal": "Contributing to impactful AI/ML projects"
}
AI-powered Fake Job Detection System using NLP, TF-IDF, Logistic Regression & SMOTE. Features SHAP explainability, Power BI dashboard, MySQL integration, and Streamlit web app. AUC-ROC: 0.984
Tech Stack: Python Streamlit Machine Learning Data Analytics Power BI
An intelligent movie recommendation system using content-based filtering and cosine similarity with TMDB API integration for personalized suggestions, trailers, and detailed movie information.
Tech Stack: Python Streamlit Pandas NumPy Scikit-learn TMDB API
"Turning Data into Intelligence, One Algorithm at a Time"
I'm passionate about leveraging AI and Machine Learning to solve real-world problems. From building intelligent recommendation systems to uncovering insights through data analysis, I believe in technology's power to create meaningful impact.
🔍 Actively seeking opportunities in AI/ML & Data Science
📚 Learning Deep Learning & Neural Networks
🚀 Building production-ready ML applications
🤝 Contributing to open-source AI projects
💼 Open to Work | 🚀 Ready to Contribute | 🎯 Focused on AI/ML