desi48danko,Kuohsien "Chris/Desie" Den,github

I am an aspiring, self-educating software developer with experience in math, CS, and data analytics.

My two biggest passions in life are organization and story-telling, and software development is the ultimate channel through which I can pursue both and help others solve their problems!

I'm most excited about opportunities to generate positive world impact. 🌎🤖

Featured (Visual Portfolio)

Full-stack Apps

⭐ Streamlit Deepfake App: Deepfake Image Detector
Interactive Map: Ideal Weather Location Mapper
Interactive Map: Live Map of Weather Hazards
Interactive Dashboard: Bacteria in Bellybutton Dashboard

Deployment Challenges

SQL & ERD Deployment: Employee ERD
SQL & ETL Deployment: Cryptocurrency ETL Loading
SQL & API Deployment: Weather Station API

Kuohsien "Chris/Desie" Den's Projects

bacteria-diversity-interactive-web-dashboard

Front-end interactive web dashboard that analyzes and visualizes belly button bacteria charts. Graphs change dynamically depending on user interaction.

deepfake-image-detector

Streamlit app that deploys a trained CNN to detect deepfakes up to 0.992 precision.

employee-sql-erd-management

SQL challenge that takes raw .csv data, transforms it, and then loads it into a SQL database. Performs lightweight SQL analysis on newly formatted dataset.

ETL pipeline project that extracts crypto and traditional stock prices via file reading + web scraping, transforms that into clean, aggregated data, and then loads it into a series of .sql tables, ready for analysis.

ideal-vacation-by-weather-predictor

Python analysis challenge that pulls data from weather APIs, analyzes that data, and then visualizes the top "ideal" vacation hotel locations based on results.

natural-hazard-visualization-interactive-web-dashboard

Interactive web dashboard that visualizes natural hazard data from USGS onto an interactive web dashboard and map.

weather-station-data-api-deployment

Python/SQLite challenge that cleans, analyzes, and visualizes raw precipitation and temperature data from Hawaii weather stations and then uploads it to a custom Flask API server.

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