Hamid Jahani
About Hamid Jahani
Hamid Jahani is a Data Scientist and Machine Learning Engineer with experience in developing machine learning models and intricate dashboards for E-commerce platforms. He has worked at various organizations including Snappfood and Digikala.com, and currently holds a position at roomvu in Vancouver, Canada.
Work at Roomvu
Hamid Jahani currently serves as a Data Scientist and Machine Learning Engineer at Roomvu in Vancouver, British Columbia, Canada. He has been with the company since 2023. In this role, he focuses on developing and implementing machine learning models that enhance data-driven decision-making processes.
Previous Experience at Snappfood
Hamid Jahani worked at Snappfood as an MLOps/Data Engineer from 2022 to 2023. During his tenure, he designed intricate dashboards for leading E-commerce platforms in the Middle East, which improved their decision-making capabilities. He also served as a Data Analyst & Scientist at Snappfood from 2021 to 2023, where he developed machine learning models for recommendation systems, churn prediction, and customer segmentation.
Experience at Digikala.com
In 2021, Hamid Jahani was employed as a Business Data Analyst at Digikala.com for a period of eight months. His role involved analyzing business data to support strategic decisions within the organization.
Education and Expertise
Hamid Jahani holds a Master's degree in Data Science from Tarbiat Modares University, where he studied from 2020 to 2022. He also earned a Bachelor's degree in Statistics from Allameh Tabataba'i University, completing his studies from 2016 to 2020. His academic background supports his expertise in data analysis and machine learning.
Teaching Experience
From 2018 to 2020, Hamid Jahani worked as a Teacher Assistant at Allameh Tabataba'i University. In this position, he supported faculty members and assisted students in understanding statistical concepts and methodologies.
Publications
Hamid Jahani authored 'Mathematical Statistics with R', which contributes to the field of statistical education. This work reflects his commitment to advancing knowledge in statistics and data science.