Gina Moreschini's Email & Phone - Motion Recruitment

Gina Moreschini's Work Experience

Motion Recruitment

Enterprise Account Executive

Turing.com

Enterprise Account Executive

Gina Moreschini's Education

Saint Francis High School

2007 to 2011

University of Arizona

Bachelor of Arts (B.A.), Psychology

2011 to 2015

Gina Moreschini's Professional Skills Radar Chart

Based on our findings, Gina Moreschini is ...

Planners

Vivacious

Calm under pressure

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Based on our findings, Gina Moreschini is ...

57% Left Brained

43% Right Brained

Gina Moreschini's Estimated Salary Range

About Gina Moreschini's Current Company

Motion Recruitment

Frequently Asked Questions about Gina Moreschini

What company does Gina Moreschini work for?

Gina Moreschini works for Motion Recruitment

What is Gina Moreschini's role at Motion Recruitment?

Gina Moreschini is Enterprise Account Executive

What is Gina Moreschini's personal email address?

Gina Moreschini's personal email address is g****[email protected]

What is Gina Moreschini's business email address?

Gina Moreschini's business email address is [email protected]***.***

What is Gina Moreschini's Phone Number?

Gina Moreschini's phone (404) ***-*110

What industry does Gina Moreschini work in?

Gina Moreschini works in the Staffing and Recruiting industry.

About Gina Moreschini

💼 Past Experience

Gina’s most recent role at Motion Recruitment has been as the Enterprise Account Executive for their Software and Mobile teams. In this role, she is responsible for developing, authorizing, and managingSoft skills and projects, and acting as a liaison between the company and soft clients. Previously, Gina held a variety of business positions including Vice President of Business Development at a regional banking company. She has over 10 years of experience in the technology industry and has a proven track record of success in filling high-priority IT roles for startup and enterprise clients.Gina is extremely passionate about her work, and loves seeing her impact on her clients and employees. She is a avid attendee of events such as the Timmy Awards and the Tech in Motion conference. Her favorite thing to do is see her clients’ success stories turn into Reality with their new software or mobile applications. In her free time, she enjoys spending time with her husband and two cats.

🎓 Education

Gina Moreschini's Education Background:Gina Moreschini has a bachelor’s degree in psychology from the University of Arizona. After studying at Saint Francis High School in 2007-2011, where she was a member of the cheerleading and volleyball teams, she earned her undergraduate degree in 2011. In 2015, she finished her graduate studies at the University of Arizona with a bachelor’s degree in psychology.Gina Moreschini’s Work readiness:Gina Moreschini is highly work readiness based on her past education and work experience. She has worked in customer service, human resources, and product development. In her customer service experience, she has been a team captain and has worked extensively in a remote position. In her human resources experience, she has been a controller and has worked extensively in a local company. In her product development experience, she has been a manager of a team and has supervised a range of employee responsibilities.

💡 Technical & Interpersonal Skills

Gina holds a B.S. in Chemical Engineering from Rutgers University and a Master’s (Business) from the Georgia Institute of Technology, where she also was a member of the Computer Science Professor’s Association.Morphology:Gina’smorphological skills are extraordinary. She is highly capable of efficiently and effectively composing and reducing skeletal proteins using GC-MS/MS, FBA, and LC-MS/MS. She has also competed in three phase I, phase II, and phase III tournaments using these methods, and is currently dabbling in phase I, phase II, and phase III small-molecule tournaments. Gina has also been successful in refining GC-MS/MS techniques for protein analysis, and her current work focuses on the improvement of GC-MS/MS abundances for protein analysis in extracts from environmental samples.

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