Building Machine Learning, Generative AI, Forecasting, and Analytics Engineering solutions that transform complex data into measurable business impact.
I am a Data Scientist focused on building intelligent systems using Machine Learning, Generative AI, Forecasting, Data Engineering, and Analytics.
My work spans Finance, Healthcare, Retail, Energy, Supply Chain, and Public Sector analytics, with a strong focus on turning business problems into production-ready analytical solutions.
class DataScientist:
def __init__(self):
self.name = "Tarun Sai Reddy Kummetha"
self.role = "Data Scientist"
self.secondary_role = "AI/ML Engineer"
self.specializations = [
"Machine Learning",
"Generative AI",
"RAG Systems",
"Forecasting",
"Analytics Engineering",
"Data Engineering"
]
self.current_focus = [
"AI Agents",
"Production RAG Systems",
"Time Series Forecasting",
"Big Data ML Pipelines",
"MLOps"
]
def mission(self):
return "Transform data into intelligent business decisions"Currently building Machine Learning, Forecasting, Anomaly Detection, and AI-powered decision-support solutions.
Experienced across:
- Machine Learning
- Generative AI & RAG
- Big Data Analytics
- Forecasting
- Business Intelligence
- Data Engineering
- Cloud Analytics
|
LLM-powered cryptocurrency market research platform using CrewAI, Groq, Exa Search, and Alpha Vantage. Tech: CrewAI • Groq • Exa Search • AI Agents |
Financial intelligence assistant leveraging LangChain, FAISS, Hugging Face, and Groq for semantic document retrieval. Tech: LangChain • FAISS • RAG • Hugging Face |
|
Comparative forecasting framework evaluating ARIMA, XGBoost, and LSTM models on energy consumption data. Tech: ARIMA • XGBoost • TensorFlow • LSTM |
Distributed machine learning pipeline for large-scale customer churn prediction and retention analytics. Tech: PySpark • Spark ML • Big Data • ML Pipelines |
|
Cloud-native analytics platform processing Uber trip data through ETL pipelines and BigQuery. Tech: GCP • BigQuery • ETL • Looker Studio |
End-to-end SQL analytics system focused on revenue growth, pricing, and customer behavior insights. Tech: PostgreSQL • SQL Analytics • Retail Analytics |
Currently building and exploring:
- AI Agents for Financial Intelligence
- Production RAG Systems
- Forecasting Platforms
- Big Data Machine Learning Pipelines
- Cloud-Native Analytics Engineering
- MLOps and Model Monitoring
GitHub • LinkedIn • Tableau • Portfolio • Email