Aungshuman Zaman, Ph.D.
About Aungshuman Zaman, Ph.D.
Aungshuman Zaman, Ph.D., is a Senior Data Scientist at CAVALLO, where he has worked remotely since 2022. He has extensive experience in data science and research, having held positions at various institutions including Stony Brook University, American Water, and CERN.
Work at CAVALLO
Aungshuman Zaman has been employed at CAVALLO as a Senior Data Scientist since 2022. In this role, he works remotely and contributes to various data science projects. His responsibilities include developing complex models and applying data analysis techniques to support the company's objectives.
Education and Expertise
Aungshuman Zaman earned a Bachelor of Science (B.S.) in Physics from the University of Dhaka, studying from 2005 to 2009. He later pursued a Doctor of Philosophy (Ph.D.) in High Energy Particle Physics at Stony Brook University, completing his studies from 2010 to 2016. His educational background provides a strong foundation in both theoretical and practical aspects of data science.
Background
Aungshuman Zaman has a diverse professional background in data science and research. He worked as a Research Assistant at both Stony Brook University and CERN from 2012 to 2016. He also held positions at NYC Data Science Academy as a Teaching Assistant and Fellow in 2018, and served as a Data Scientist II at American Water from 2019 to 2021.
Professional Experience
Throughout his career, Aungshuman Zaman has held various roles that highlight his expertise in data science. He worked at OMEGA POINT as a Data Scientist/Engineer from 2021 to 2022 and previously at American Water as a Data Scientist from 2018 to 2019. He also served as a Lecturer at Suffolk County Community College from 2016 to 2018.
Skills and Competencies
Aungshuman Zaman possesses well-developed communication skills, demonstrated through leadership roles and mentoring experiences. He has experience in project management and team collaboration, showcasing strong interpersonal and organizational skills. His proficiency with multiple programming languages and frameworks indicates a versatile skill set in data science.