Hira Benish, Ph.D.'s Linkedin Analytics

I am a highly motivated R & D scientist, Problem solver, and Analyst, hold a Ph.D. in Mathematics and a strong focus on Graph theory. I have 8 years of professional research experience leading to 4 scientific articles on graph theory. I am passionate about science communication and interdisciplinary research skills as Machine learning to thrive and be productive. I stay abreast with current trends in science and technology. I leverage these skills to achieve continued success: ■ Expertise in performance management with in-depth knowledge and advanced experience in the administrative field, as evidenced by 1 cross-functional collaboration within 7 different departments of an organization. ■ Documentation and reporting expertise with an ability to write, edit and review technical reports and SOPs as evidenced by obtaining an Indigenous scholarship from Higher Education Commission Pakistan amounting to $23,387. ■ Mentorship expertise with an ability to manage dedicated projects, resulting in the completion of 7 educational projects and mentoring 15 professionals in the field of mathematics. ■ Leadership expertise working with multi-disciplinary teams as shown by leading 8 professionals to identify business opportunities and adhere to administrative regulations. ■ Strong communication skills with an ability to support the writing of regulatory documents as evidenced by volunteering with the university to in achievement of 70 students' career development goals. My accomplishments in the last two years include Career Accomplishments: ■ Research and analysis expertise with a strong ability to evaluate, characterize and formulate new methodologies of graph theory, leading to the completion of a Ph.D. in graph Theory with a focus on graph distinguishing variants and 2 publications. ■ A fast-paced, dynamic innovator with an ability to work autonomously on data visualization tools and techniques related to mathematical and statistical analysis, as demonstrated by teaching mathematical analysis techniques to 400 graduate students. ■ Problem-solving skills with an ability to interface with a team virtual or in-person, as evidenced by a 98% success rate of mentoring 8 junior team members and 300 mathematics students. Software competences: Microsoft Office Suite | Python | Machine Learning |LaTex | SWP | Mayora E-Mail: [email protected]