Building intelligent systems with Generative AI and Data Engineering
- π MS in Data Science & Analytics @ University of Maryland
- π€ Interested in **Data Science/Analytics, Generative AI, and Data Engineering **
- π§ Currently building LLM-powered applications and analytics platforms
- π Passionate about turning data into actionable insights
- π Exploring AI agents, RAG systems, and intelligent workflows
- Generative AI applications (LLMs, RAG systems)
- Machine Learning pipelines
- Data analytics & experimentation
- Building AI-powered dashboards and tools
Languages: Python | SQL | JavaScript
Machine Learning & AI: Scikit-learn | PyTorch | NLP | RAG | LLM applications
Data & Analytics: Pandas | NumPy | Airflow | Snowflake | Tableau
Cloud & Tools: AWS | Streamlit | Git | Docker | GitHub Copilot
Automation: n8n | Workflow automation | API integrations
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πΉ Financial Transaction Risk Analysis
Machine learning models detecting anomalies across financial transactions. -
πΉ AI-Powered Data Exploration Assistant
LLM + RAG system enabling natural language queries over structured datasets. -
πΉ E-commerce Sales Analytics Dashboard
Interactive dashboards analyzing revenue drivers and product performance.