Gunel Mehdiyeva Chau
About Gunel Mehdiyeva Chau
Gunel Mehdiyeva Chau is a Software Engineer and Product Manager with extensive experience in product management and data analysis. She has worked in various roles across multiple companies since 2016, including her current positions at Starling Bank and Step Function in London.
Work at Starling Bank
Gunel Mehdiyeva Chau has been employed as a Software Engineer at Starling Bank since 2021. In this role, she contributes to software development projects, utilizing her skills in programming and problem-solving. Her experience in agile product development supports her work in creating efficient and effective software solutions.
Current Role at Step Function
Since 2020, Gunel has served as a Product Manager for an E-Learning Platform at Step Function. In this position, she oversees product development and strategy, ensuring that the platform meets user needs and industry standards. Her background in data analysis aids in making informed decisions regarding product features and enhancements.
Education and Expertise
Gunel holds a Master of Business Administration (MBA) from IESE Business School, where she studied Strategy, Finance, and General Management from 2015 to 2017. She also earned a Master of Arts in Diplomacy from the University of Nottingham in 2008. Additionally, she completed a Nanodegree in Data Analysis from Udacity, enhancing her skills in data science and analytics.
Background in Project Management
Gunel has extensive experience in project management, having worked as a Project Management Consultant (MBA Intern) at the United States - Azerbaijan Chamber of Commerce since 2016. She also holds a similar role at the Radiant Group of Hospitals in Nairobi, Kenya. Her roles involve managing projects and collaborating with stakeholders to achieve organizational goals.
Technical Skills and Technologies
Gunel is proficient in various programming languages and technologies, including Java, SQL, JavaScript (ES6 + React.js), and Ruby. She possesses commercial experience in product management and data analysis, utilizing SQL and Python to drive insights and improve product offerings.