Developer
Kevin Zhao
Data Scientist / Python Developer
10411 Lansdale Ave, Cupertino, CA 95014, USA
Python
R
SQL
Matlab
Machine Learning
Deep Learning
Linear Programming
REST API
Docker
Flask
AWS
Linux
Bash
Git
About
Kevin is a data scientist and engineer with several years of experience working in different industries, including but not limited to big data, energy, urban mobility, smart cities, and finance. He has worked at fast-paced startups building data products with full development cycles, including data engineering, machine learning, optimization, and data visualization.
Skills
Languages
Python, R, Matlab, SQL, HTML/CSS, Javascript
Frameworks
Flask, Django
Libraries/APIs
Tensorflow, Keras, Scikit-learn, Pandas, Numpy, Scipy, Pyomo, Matplotlib, Bokeh, Plot.ly
Platforms
Linux, Docker, AWS, Google Cloud
Storage
PostgreSQL, MySQL, MS SQL, MongoDB, AWS DynamoDB, AWS S3
Tools
Git
Other
Airflow, Apache Spark, AWS Lambda, AWS Athena, Cron, Metabase, Apache Superset
Experience
Python
4 years
Machine Learning
4 years
Data Engineering
3 years
Hightlight Projects

Nanogrid Software

Core software that connects to smart energy devices via REST API and optimizes energy usage to help homeowners build nanogrids with energy usage fully supported by solar + battery.
TouchLight Innovations
TouchLight Innovations
  • Connected to smart thermostats and other devices with 3rd party APIs
  • Automated data pipeline using AWS EC2, Lambda, DynamoDB
  • Built machine learning and deep learning models to predict indoor temperature and forecast solar production
  • Optimized energy decisions with linear programming and deep learning

Battery Health Classification

Internal tool to classify and recall batteries with manufacturing or performance defects from battery swapping energy network.
Gogoro
Gogoro
  • Queried time series-based battery swap data from PostgreSQL database
  • Built and automated machine learning model to predict battery health with 92% recall
  • Deployed machine learning model to Flask app using Docker

Energy Demand Forecast

Time series forecast model to optimize operations of battery swapping network supporting over 200,000 electric scooter users.
Gogoro
Gogoro
  • Built time series forecast deep learning model with LSTM using Keras/Tensorflow
  • Optimized model to perform with RMSE of less than 1 swap per station
  • Deployed model to software platform with AWS
Work Experience
CTO / Lead Data Scientist
TouchLight Innovations
|
Feb 2020 - Present
  • Lead the tech for the core software product managing building energy usage to help homeowners build nano-grids with energy usage fully supported by solar + battery
  • Build and deploy all machine learning, deep learning, and optimization models
  • Collect data from 3rd party APIs and build data pipeline using cloud technology
  • Participate in key business decisions to innovate the product
Python
SQL
AWS EC2
AWS Lambda
AWS DynamoDB
Machine Learning
Deep Learning
Linear Programming
Flask
Data Scientist
Gogoro
|
Mar 2018 - Apr 2020
  • Developed energy algorithms for battery swapping network supporting over 200,000 electric scooter users and managing over 500 MWh of energy
  • Built Keras LSTM deep learning model to forecast demand of battery swapping network
  • Developed anomaly detection model and designed experiments to predict internal short circuit in Li-ion battery packs
  • Optimized charging algorithm to meet energy network demand and extend battery cycle life
  • Built internal dashboards with open source tools to help R&D engineers diagnose problems within the energy network
Python
SQL
Linux
Docker
Flask
Plot.ly
Machine Learning
Deep Learning
Airflow
AWS
Data Science Consultant
Kevin Zhao
|
Feb 2017 - Dec 2018
  • FinTech Startup: Built and deployed supervised learning model with NLP to classify financial text data
  • Green Building Startup: Analyzed and optimized ceramic processing data for sustainable building applications
Python
R
Machine Learning
Deep Learning
MongoDB
AWS S3
AWS Sagemaker
Education

Northwestern University

Evanston, IL
|
Sep 2015 - Dec 2016
MS in Materials Science

Northwestern University

Evanston, IL
|
Sep 2011 - Jun 2015
BS in Materials Science
Certifications

Data Science Fellow

Sep 2018 - Permanent
Metis