Mirabela Georgeta Susman
About Mirabela Georgeta Susman
Mirabela Georgeta Susman is an experienced Data Researcher Advanced at LeadGenius, where she has worked since 2016. She holds a degree in Food Industry Engineering and has advanced IT skills, which enhance her data research capabilities.
Current Role at LeadGenius
Mirabela Georgeta Susman has been employed at LeadGenius as a Data Researcher Advanced since 2016. In this role, she has developed strong project management skills and has utilized her advanced IT skills to enhance her data research responsibilities. Her experience at LeadGenius also includes a previous position as a Data Researcher from 2015 to 2016, where she contributed to various data-driven projects.
Educational Background
Mirabela Susman studied at the Environmental Protection University of Oradea, where she earned a degree in Food Technology and Processing, achieving the title of Food Industry Engineer from 2004 to 2009. Additionally, she attended Technical College Mihai Viteazul, where she studied Computer and Information Sciences and Support Services, obtaining the qualification of IT Analyst Programmer from 2000 to 2004.
Previous Work Experience
Before joining LeadGenius, Mirabela Susman worked as a Loan Officer at BRD in Oradea from 2013 to 2014. This role provided her with valuable experience in client relations and financial services. Her earlier positions have contributed to her diverse skill set, which she applies in her current role.
Skills and Adaptability
Mirabela Susman possesses advanced IT skills that complement her data research responsibilities. She is known for her ability to quickly learn and adapt to new ideas and technologies, which enhances her effectiveness in her role. Additionally, she has built effective working relationships with colleagues at all levels, demonstrating her strong interpersonal skills.
Commitment to Flexibility
Mirabela Susman demonstrates flexibility in her working hours, showcasing her commitment to her role at LeadGenius. This adaptability is essential in the fast-paced environment of data research, where project demands can vary significantly.