
Danial
Project Manger
男35 岁英语翻译/英语教师住在 西班牙国籍 伊朗
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工作经历
Project Manger
Yaas Arghavani System Engineering Co. (Subsidiary of Mellat Bank - PSP)2021.01-2024.01(3 年)- Led and managed a team of 40 staf across data analysis, marketing, sales, operations, etc. departments. - Data visualization and data analyzing using Power Bi, MS Excel, etc. - Supervised the step-by-step execution of monthly plans and targets. - Monitored weekly performance of all departments and prepared analytical reports.Branch Vice Manager
Yaas Arghavani System Engineering Co. (Subsidiary of Mellat Bank - PSP)2019.01-2021.01(2 年)- Led and managed a team of 25 staf across operations department. - Conducted transaction data analysis using ML techniques and data mining to identify strengths and weaknesses. - Identified areas with declining transaction rates and provided actionable solutions to the operations team.Data Scientist
Yaas Arghavani System Engineering Co. (Subsidiary of Mellat Bank - PSP)2017.01-2019.01(2 年)- Analyzed transaction data using statistical methods and data mining techniques to identify trends, weaknesses, and opportunities for growth. - Preparing statistical dashboards using Power BI, MS Excel. - Leveraging ML techniques such Regression, Classification, Clustering for statistical reports. - Worked closely with a team of data engineers and BI analysts to improve the efficiency POS terminals.Data Analyst
SHATEL ISP2014.01-2017.01(3 年)- Designed and implemented models for the marketing and sales units, increasing 20% profit margin - Recognized weak regions in marketing and sales, providing insights to improve the number of sales by 25%. - Prepared statistical dashboards using MS Excel, Power BI.
教育经历
University of Alcala, Spain
Computer Science, Knowledge engineering2024.06-至今(1 年)Computer Science PhD studentShahid Beheshti University, Iran
Computer Science2011.06-2014.06(3 年)Computer Science PhD studentYazd University, Iran
Computer Science2007.06-2011.06(4 年)Computer Science PhD student
语言
英语
精通
西班牙语
一般
证书
Data Science Foundations, 2023
Data mining techniques, 2023
Data Science Mathematics, 2021
Machine Learning Algorithms, 2023
Excel for Data Science, 2020
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