Shabnam Rashtchi, Ph.D.

Shabnam Rashtchi, Ph.D. has extensive work experience in various roles within the fields of machine learning, data engineering, and technology consulting. Shabnam is currently employed at Access Intelligence Plc as the Lead machine learning engineer. Prior to this, they worked at PwC as the Deep Learning & Large-Scale Simulation Lead, where they developed complex platforms using agent-based simulation techniques to mitigate the pandemic effect and worked on strategic planning for the return to office roadmap. Shabnam also tailored and implemented business and marketing plans for various applications of human dynamics simulation.

Shabnam has also worked at Thomson Reuters as a Data Engineer, where they were involved in the design and development of a large-scale automated system for extracting source of events from news and social media. At Avanade, they worked as a Data Scientist/Consultant. Additionally, they have experience as a Technology Management Consultant at Capco, where they assisted in projects related to open banking API, robotic process automation, and automation of data lineage. Shabnam also worked as a Research Associate at the Advanced Forming Research Centre, University of Strathclyde.

Shabnam Rashtchi holds a Ph.D. in Computational Mechanics from Loughborough University, where they conducted research on opto-mechanical numerical analysis of Photovoltaic Encapsulant materials. Shabnam also worked as a Teaching Assistant during their Ph.D. studies. Furthermore, they have experience as a Lead Developer at Asar Consultant, where they worked on HVAC analysis software modules. Shabnam started their career with an internship at PETROGAS.

Shabnam Rashtchi, Ph.D. has a diverse and extensive education history. In 2001, they graduated from Farzanegan High School with a diploma in Physics and Mathematics. Shabnam went on to pursue higher education in the field of Mechanical Engineering at the University of Birmingham, where they obtained a Master of Engineering (MEng) degree from 2005 to 2010.

Continuing their academic journey, Dr. Rashtchi joined Loughborough University to specialize in Computational Mechanics. Shabnam successfully completed their Doctor of Philosophy (PhD) degree from Loughborough University between 2011 and 2015.

In addition to their formal education, Dr. Rashtchi has also obtained several certifications to enhance their knowledge and skills. Shabnam obtained certifications in various areas such as Convolutional Neural Networks, Deep Learning Specialization, Improving Deep Neural Networks, Neural Networks and Deep Learning, Sequence Models, Structuring Machine Learning Projects, Real-Life Data Science, and Natural Language Processing from institutions such as Coursera and Microsoft. Moreover, in 2012, they acquired a certification in the Design and Reliability of Photovoltaic Modules from Neelkanth G. Dhere and Michael D. Kempe.

Overall, Shabnam Rashtchi's educational background includes a diploma in Physics and Mathematics, a Master of Engineering degree in Mechanical Engineering, and a Doctor of Philosophy degree in Computational Mechanics. Shabnam has also obtained various certifications in different areas of study to further enhance their expertise.