Professional Summary

Professional Overview

Bahar Zarin is a highly accomplished Technical Lead Research Data Scientist with extensive expertise in leveraging data-driven insights to drive innovation and solve complex business challenges. With a strong background in data science, software engineering, and transportation research, Bahar has made significant contributions to the tech industry and transportation sector.

Experience Summary

Current Role

As the Technical Lead Research Data Scientist at Meta, Bahar is responsible for leading a team of data scientists in the development and implementation of cutting-edge machine learning and data analysis solutions. In this role, she oversees the entire research and development lifecycle, from ideation to deployment, ensuring the delivery of high-impact, data-driven insights that drive business growth and user satisfaction.

Career Progression

Prior to her current position, Bahar held the role of Lead Data Scientist at Facebook, where she spearheaded the development of innovative data products and solutions that enabled the company to better understand user behavior and optimize platform performance. Before that, she gained valuable experience as a Data Science/Software Engineering Intern at Telenav and a Research Scientist at the Federal Highway Administration, where she conducted groundbreaking research on transportation systems and mobility patterns.

Bahar's early career included roles as a Graduate Researcher at the CATT Lab (Center for Advanced Transportation Technology Laboratory) and a Graduate Research Assistant at the University of Texas at Arlington. Throughout her career, she has consistently demonstrated her ability to translate complex data into actionable insights, drive cross-functional collaboration, and deliver tangible business impact.

Academic Background

Bahar holds a Ph.D. in Civil Engineering with a specialization in Transportation Systems from the University of Texas at Arlington. Her research focused on the application of data science and machine learning techniques to enhance transportation infrastructure planning and operations.

Areas of Expertise

• Machine learning and deep learning

• Predictive modeling and forecasting

• Data visualization and storytelling

• Agile project management and team leadership

• Transportation systems analysis and optimization

Professional Impact

Bahar's work has been recognized for its innovation and industry impact. She has published numerous peer-reviewed articles in prestigious journals and presented at leading industry conferences. Her research on transportation data analytics has been instrumental in shaping the development of smart city initiatives and improving the efficiency of urban mobility systems.

Conclusion

With a proven track record of driving data-driven innovation and delivering measurable business results, Bahar Zarin is a highly sought-after Technical Lead Research Data Scientist. Her combination of technical expertise, industry knowledge, and collaborative leadership skills make her a valuable asset in the tech industry and transportation sector.