Nan Zhao
About Nan Zhao
Nan Zhao is a Data Engineering Manager and Data Scientist with extensive experience in data visualization, machine learning, and hardware design. He holds a Master's degree from Columbia University and has worked in various roles across multiple organizations since 2011.
Current Role at IoT Nation
Nan Zhao currently serves as both Data Engineering Manager and Data Scientist at IoT Nation, a position held since 2018. In this role, Zhao applies advanced data engineering and data science techniques to support the organization's objectives. With over six years of experience in this capacity, Zhao has contributed to various projects that leverage data analytics and engineering to enhance IoT solutions.
Previous Experience in Data Science and Engineering
Prior to joining IoT Nation, Nan Zhao held several positions that contributed to their expertise in data science and engineering. Zhao worked as a Data Scientist Intern at IoT Central for three months in 2016 and as a Fellow at The Data Incubator for two months in the same year. Additionally, Zhao gained experience as an IC Design Engineer at Vimicro Corporation for four months in 2015, and as a Hardware Design Engineer at Kuang-Chi Institute of Advanced Technology for one month in 2012.
Educational Background
Nan Zhao holds a Master of Science (M.S.) in Electrical, Electronics and Communications Engineering from Columbia University, where they studied from 2015 to 2017. Zhao also earned a Bachelor's Degree in Electrical Engineering with a dual focus on Computer System Engineering from Rensselaer Polytechnic Institute, completing the program from 2010 to 2014. Zhao attended Montgomery High School from 2008 to 2010 and Shenzhen Middle School prior to that.
Technical Skills and Expertise
Nan Zhao possesses advanced skills in data visualization, utilizing tools such as Matplotlib and Bokeh. Zhao has developed expertise in web scraping with Beautiful Soup and Flask. Additionally, Zhao has a strong foundation in machine learning techniques, including Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), and Random Forest. Proficiency in hardware design is evident through skills in Verilog, System Verilog, and VHDL, along with experience in cloud computing solutions using Amazon AWS.
Tutoring and Academic Support Experience
During their academic career, Nan Zhao served as a Private Tutor at Rensselaer Polytechnic Institute in 2014 for four months, providing academic support to fellow students. Zhao also worked as a Lab Assistant at Rensselaer Polytechnic Institute from 2011 to 2012 for eight months, further enhancing their experience in an educational environment.