I have been in various data science and analytics roles since 2017. Most recently, I am the lead data scientist for a group of 10 data scientists, data engineers, and software engineers from around the world. I have worked extensively in deploying and managing models on Azure Machine Learning.

For the past 8 years, I have the end-to-end responsibility for a real-time event detection analytics platform which monitors equipment globally.

I enjoy keeping an open mind to the market and exploring how new technology can fill in technical gaps. In my previous roles, I have enhanced the existing system by utilizing Databricks to improve machine learning training and deployment, incorporating Neo4j to significantly reduce SQL query times by implementing node-based searching, and leveraged open-source Python libraries to more parse thousands of flow drawings instead of performing the task manually.

In 2019, I completed the Udacity Machine Learning NanoDegree program. The course covered the concepts of machine learning using Python to clean and prepare data, train supervised and unsupervised models, and implement deep learning models including neural networks.