Seyed Asgharzadeh
About Seyed Asgharzadeh
Seyed Asgharzadeh is a Data Scientist at Roomvu in Vancouver, Canada, with extensive programming skills and experience in data analysis. He also serves as an Adjunct Lecturer at UBC Sauder School of Business and has a strong academic background in transportation engineering.
Work at Roomvu
Seyed Asgharzadeh has been employed as a Data Scientist at Roomvu since 2019. He has accumulated five years of experience in this role, contributing to data analysis and modeling efforts in Vancouver, British Columbia, Canada. His advanced programming skills in languages such as R, Python, and SQL are integral to his work, allowing him to effectively analyze data and derive insights.
Education and Expertise
Seyed Asgharzadeh holds a Doctor of Philosophy (PhD) in Transportation and Highway Engineering from Sharif University of Technology, where he studied from 2006 to 2013. He also earned a Master's degree in Transportation System Management from the same institution, completing his studies from 2004 to 2006. Additionally, he has a Bachelor's degree in Civil Engineering, obtained from 2000 to 2004. His educational background provides a solid foundation in analytics methods, including econometrics modeling and machine learning.
Background
Prior to his current role at Roomvu, Seyed Asgharzadeh worked as a Statistical Analyst at Empa for eight months in 2010 in Zürich, Switzerland. He also served as a Data Modeler at Tehran Municipality from 2014 to 2018 in Tehran, Iran. His diverse work experience spans multiple countries and roles, highlighting his adaptability and expertise in data-related fields.
Teaching Experience
Since 2020, Seyed Asgharzadeh has been an Adjunct Lecturer at UBC Sauder School of Business in Vancouver, British Columbia, Canada. His role in academia allows him to share his knowledge and expertise in data science and analytics with students, further contributing to the educational landscape.
Technical Skills
Seyed Asgharzadeh possesses advanced technical skills in various programming languages and tools essential for data analysis. He is proficient in R, Python, SAS, Matlab, SPSS, and SQL. Additionally, he is skilled in using Microsoft Project, Microsoft Office, Google Analytics, and LATEX, which are important for project management and data analysis tasks. His multilingual capabilities include fluency in Farsi and English, along with average proficiency in French.