Sohail Hosseini

Data Science Instructor at Simplilearn

Sohail Hosseini has a diverse work experience spanning various roles and industries. Sohail is currently working as a Data Science Instructor at Simplilearn, where they deliver lectures on machine learning and deep learning concepts, designs comprehensive curricula, and conducts practical sessions and workshops.

Prior to this, Sohail worked as a Bootcamp Instructor for Data Analytics at The George Washington University - College of Professional Studies. In this role, they created and delivered engaging lessons, guided students through hands-on projects, and provided personalized feedback and support.

Sohail also has experience as a Machine Learning Engineer at the United States Postal Service, where they developed and deployed advanced algorithms for complex logistics problems, and utilized time series models to optimize machine learning performance.

Sohail has also worked as a Bootcamp Instructor for the Data Analytics Program at Johns Hopkins Whiting School of Engineering, teaching Python, API Interactions, PostgreSQL, MongoDB, Machine Learning, R, Git/GitHub, and more.

In addition, they have served as an Assistant Professor at Capitol Technology University, teaching advanced programming and participating in departmental board meetings. Sohail also worked as a Research Fellow at Rensselaer Polytechnic Institute and as an Adjunct Instructor at the University of Toledo, where they taught various courses and managed technical resources.

Before pursuing their teaching and research career, Sohail worked as a Site Project Manager at Nima Consulting Engineering Company, where they supervised site operations, organized inspections, and ensured project success.

Overall, Sohail's work experience showcases their expertise in data analytics, machine learning, teaching, and project management.

Sohail Hosseini obtained a Doctor of Philosophy (Ph.D.) degree in Electrical, Electronics, and Communications Engineering from The University of Toledo. This educational achievement took place from 2012 to 2016.

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