About Me
Data Analyst & Software Engineer specializing in ML/AI
I'm a data analyst and software engineer specializing in ML/AI applications, currently studying Computational & Applied Mathematics at the University of Chicago. I build AI-powered tools and data solutions that solve real-world problems through intelligent automation.
My experience spans data engineering internships where I built ETL pipelines and BI platforms, AI agent development using LangGraph and LLMs, and full-stack applications. I've worked with organizations to automate workflows, improve data quality, and deliver actionable insights through dashboards and analytics.
Technical expertise: Python (pandas, NumPy, scikit-learn), SQL, TypeScript/JavaScript, LangGraph agents, FastAPI, AWS, and React. I focus on building reliable, scalable solutions with proper validation, monitoring, and clean architecture.
Technical Skills
AI & Machine Learning
AI Agents: LangGraph workflows, structured extraction, automation
ML Tools: scikit-learn, pandas, NumPy, Matplotlib, statsmodels
LLM Integration: Gemini 2.0, RAG systems, prompt engineering
Data Engineering
ETL Pipelines: data validation, reconciliation, quality checks
Storage: PostgreSQL, Google Sheets API, CSV processing
Analytics: KPI design, BI dashboards, time series analysis
Software Engineering
Languages: Python, SQL, TypeScript, JavaScript
Frameworks: FastAPI, React, Streamlit, AWS serverless
Tools: Git/GitHub, Pydantic validation, automated testing
Financial Analytics
Portfolio Analysis: optimization, risk metrics, performance tracking
Forecasting: Monte Carlo simulation, scenario analysis
Visualization: Plotly, interactive dashboards, reporting