class Data_Advanced_Analytics:
def __init__(self):
self.name = "Sai Ram Potlapalli"
self.role = "Data & Advanced Analytics"
self.languages = ["Python", "SQL", "C++", "Shell"]
self.specialties = ["Data Analysis", "EDA", "Feature Engineering","Data Engineering ", "Data Visualization", "Statistics", "ETL Pipelines"]
self.current_focus = "End-to-end ML pipelines"
def say_hi(self):
print("Thanks for dropping by! ")
me = Data_Advanced_Analytics()
me.say_hi()
Streamlining educational project funding through intelligent prediction
🔍 What it does: Predicts the likelihood of classroom project approval using NLP and ML
🛠️ Tech Stack: Python Scikit-learn Pandas Seaborn NLP
📈 Impact: Helps educators optimize their project proposals for better funding outcomes
Key Features:
- ✅ Advanced NLP processing of project descriptions
- ✅ Comprehensive EDA and hypothesis testing
- ✅ Multiple ML model comparison and optimization
- ✅ Feature importance analysis for actionable insights
Revolutionizing helpdesk efficiency through automated ticket routing
🔍 What it does: Automatically classifies and routes customer support tickets using NLP
🛠️ Tech Stack: Python TfidfVectorizer Tableau Scikit-learn
📈 Impact: Reduced manual ticket processing time by 75%
Key Features:
- ✅ Intelligent auto-tagging system
- ✅ Real-time ticket routing optimization
- ✅ Comprehensive KPI dashboard
- ✅ Performance tracking and analytics
graph LR
A[🔄 End-to-end ML Pipelines] --> B[🚀 Model Deployment]
B --> C[🌐 Open Source Contributions]
C --> D[📊 Real-world Analytics]
D --> A
- 🔄 End-to-end ML pipelines - Building scalable, production-ready systems
- 🚀 Model deployment skills - Focusing on MLOps and cloud deployment
- 🌐 Open-source contributions - Giving back to the data science community
- 📊 Real-world analytics projects - Solving complex business problems
Thanks for visiting!
Let's connect and build something amazing together! 🚀