About Me
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| Data scientist and machine learning engineer specializing in AI solutions for real-world problems. My background combines academic research with industry applications, giving me a unique perspective on data science innovation. |  |
FMBench Assistant
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| A conversational AI assistant for Foundation Model Benchmarking built with Amazon Bedrock, AWS Lambda, and LangGraph. This tool helps users navigate complex benchmarking options through natural dialogue. |  |
US Insights
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| Analyzing sentiment patterns across U.S. states based on Reddit conversations. Discover what different states are talking about and how those discussions vary in emotional tone. |  |
Temp Talk
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| Exploring climate trends in Southeastern Utah National Parks and their impacts on delicate ecosystems. Analysis of heat, soil conditions, evaporation and precipitation patterns affecting the region. |  |
Beats and Bytes
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| Exploring the intersection of music and machine learning. Discover patterns in popular music through data analysis, visualizations, and predictive models. |  |
EV Insights
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| Examining EVs’ environmental impact, market share, and performance compared to gasoline vehicles. This analysis uses multiple data science techniques including Naïve Bayes classification, dimensionality reduction, clustering, decision trees and ARM to extract meaningful insights. |  |
AI-Powered AQI Assistant (In Progress)
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| An interactive Gen-AI tool that lets users query real-time Air Quality Index (AQI) data for any city using natural language. Built on an MCP server and powered by the API Ninjas data source, this project aims to make environmental data easily accessible and conversational. Currently under development. |  |