Heitor Chang

Professional Experience

Developed an automated Python system that processes raw radar data to be assimilated into wind and precipitation forecasts.
Implemented a closest points linear regression model to reduce bias and statistical error.
Converted scientific Fortran code that models volcanic activity to Python modules that leverage NumPy and NetCDF libraries.

Extended a Python back-end service handling customer integration with Salesforce's API to allow the creation of new objects with custom metadata.
Corrected data inconsistencies in the Python pipeline code and upgraded the audio processor to attenuate noise and remove segments of silence.

Architected the company website in Django with custom user management and JWT authentication.
Built FastAPI endpoints to communicate with a PostgreSQL database using Google Cloud Functions and Cloud Run, leveraging Docker containers and cloud Continuous Deployment.
Created a geospatial dashboard containing satellite imagery overlays computed from NASA's scientific data and weather stations' historical data, obtained by accessing their public APIs.

Used MA (Moving Average) indicators in a Django project to predict the demand for 600 products and calculate ideal amounts for restocking.
Created a REST API with the PHP Slim micro framework to be consumed by a React app for the public website.
Visualized historical sales with NumPy and Pandas, reporting totals and outliers for each product.
Created a SPA (Single-Page App) with AngularJS and Firebase to organize product reservations by clients and their assigned salesperson in real-time.