Tabassom Saremi
About Tabassom Saremi
Tabassom Saremi is a Marketing Data Analyst with a Master of Engineering from Concordia University, currently working at Peekage in Toronto, Canada. She has a background in Industrial Engineering and has significantly improved marketing campaign effectiveness and reduced shipping errors through data analysis and strategic optimization.
Work at Peekage
Tabassom Saremi has been employed at Peekage as a Marketing Data Analyst since 2022. In this role, she focuses on analyzing marketing data to optimize strategies and improve campaign effectiveness. Her work involves developing complex metrics and key performance indicators (KPIs) to gain insights into market behavior. By leveraging data analysis, she contributes to the overall marketing strategy of the organization.
Previous Experience at TAPSI
Before joining Peekage, Tabassom Saremi worked as a Data Analyst at TAPSI from 2019 to 2021. During her tenure, she was responsible for analyzing data to enhance marketing strategies. She successfully increased campaign effectiveness by 150% through strategic analysis and optimization of marketing KPIs. Her efforts contributed to a more data-driven approach in the organization.
Education and Expertise
Tabassom Saremi holds a Master of Engineering (MEng) in Industrial Engineering from Concordia University, where she studied from 2021 to 2023. She also earned a Bachelor of Engineering (BE) in Industrial Engineering from Khayyam University, completing her studies from 2013 to 2017. Her educational background provides her with a strong foundation in engineering principles, which she applies in her analytical work.
Data Analysis Skills and Tools
Tabassom Saremi has developed a range of skills in data analysis and visualization. She has designed and implemented dashboards using tools such as Tableau, Python, SQL, and Google Tools. Her expertise extends to creating post mortem reports for marketing campaigns, which provide insights to non-technical stakeholders. Additionally, she has utilized Azure for monitoring campaign performance and data analysis, achieving a 35% reduction in shipping errors.