austin bernard

Used machine learning on multivariate time series to predict when cherry blossoms will bloom in Tokyo.

Data cleaning and collection from Japan Meteorological Agency

Handling high feature small dataset with exploratory data analysis and feature extraction

Cherry Blossom Bloom Dates in Tokyo

Front end lead engineer on developing full www application using frameworks Python flask, AWS, Nginx, MySQL, and common SE processes.

Developed use-cases and mockups for front-end interface and developed base for all front end web pages.

Gained knowledge of full SE lifecycle including best practices of SE teamwork and SE processes such as Agile/SCRUM and User Centered Design for providing good user experience

Developed application in remote environment using common message and video tools such as Zoom and Slack

Front end lead/ backend engineer for WWW marketplace application

Developed software for localization and walking detection based on received Wi-Fi signals.

Collected Wi-Fi data using CSI tool in Linux

Implemented state of the art research papers on Wi-Fi signals in machine learning

Achieved 60% classification accuracy on multiclass classification problem with small dataset using Kernel PCA dimensionality reduction algorithm followed by a fully connected neural network