Specializing in driving business intelligence, scalable data solutions, and advanced analytics systems.
Deployed a high-performance Next.js and FastAPI dashboard integrating BigQuery to analyze and prioritize live CVE vulnerabilities based on real-time enterprise exposure parameters.
Built a large-scale analytics system merging five-state NIBRS crime records into a unified dataset (1.4M+ records). Developed trend analysis, demographic insights, and a hotspot-prediction model deployed via Streamlit.
Conducted comprehensive data analysis profiling AI job market trends. Developed a highly professional interactive dashboard in Tableau and dynamic visualizations using Python and Plotly to drive actionable business insights.
Developed an end-to-end real-time credit risk platform with streaming ingestion (Kafka), online scoring API (FastAPI), and live dashboards, integrating AWS S3 for data lake storage and drift tracking.
Developed an AI-driven agriculture support prototype for the Telus TechNation Hackathon. Features crop disease detection via image classification and soil analysis using deep learning models integrated with real-time weather data.
Data Analytics & Visualization: SQL, Python, Tableau, Plotly, Advanced Excel
Data Science & ML: Pandas, NumPy, Scikit-learn, TensorFlow, Predictive Modeling
Databases, Cloud & Web: BigQuery, Snowflake, AWS S3, SQLite, FastAPI, Web Dashboards