Nahid Asadi Gharetapeh
Nahid Asadi is an accomplished professional with a diverse background in data analytics, has held a current position as a Data Analytics Lecturer at the Berlin School of Business and Innovation since November 2023.
Our team
Overview
Nahid Asadi is an accomplished professional with a diverse background in data analytics, has held a current position as a Data Analytics Lecturer at the Berlin School of Business and Innovation since November 2023. In this role, she imparts a rich blend of theoretical knowledge and practical skills to students, fostering their understanding and application of data analysis techniques.
Before this, Nahid Asadi served as a Digital Consultant and a Business Intelligence specialist at international Companies since 2015. During this tenure, she demonstrated exceptional skills in automating manual processes using Power Apps. She crafted numerous interactive dashboards using Power BI and Tableau. In addition, she actively contributed to a Python project focused on data transfer with JSON, utilizing PowerApps.
She also served as a Data Analyzer at SRH Berlin University of Applied Sciences. There, she automated a significant portion of manual processes using Python and Excel, showcasing proficiency in managing and optimizing SEO data with tools such as Excel and Google Ads.
Before relocating to Berlin, she accumulated extensive experience. As a Financial Data analyst at a big Insurance company, Nahid conducted impactful data analysis, leading to the creation of insightful sales reports. Additionally, she evaluated various startups, utilizing BI tools to generate comprehensive reports for stakeholders. Educationally, she earned a Master of Business Administration (MBA), complementing a Bachelor of Science in Information Technology and a Master’s degree in Finance.
Nahid Asadi is equipped with a robust skill set encompassing data visualization tools (Tableau, Power BI), advanced Excel, Power Apps, Power Platform, and proficiency in languages such as SQL and Python. Renowned for problem-solving abilities.
With a wealth of experience and a commitment to excellence, she continues to make impactful contributions to the field of data analytics, bridging the gap between academia and industry with a passion for fostering the next generation of data professionals.
Areas of expertise
- Business Intelligence specialist
- Financial data analyst
Research Interests
- Data analytics
- Data visualization