Farzad Radmehr
About Farzad Radmehr
Farzad Radmehr is a Data Scientist with experience in deploying machine learning models on cloud platforms. He has worked at XSELL Technologies since 2022 and previously held positions at Steampunk, Inc. and the Environmental Defense Fund.
Work at XSELL Technologies
Farzad Radmehr has been employed at XSELL Technologies as a Data Scientist since 2022. In this role, he focuses on leveraging data science techniques to enhance business solutions. His experience includes deploying machine learning models and utilizing advanced analytics to drive decision-making processes within the organization.
Previous Experience at Steampunk, Inc.
Prior to his current position, Farzad Radmehr worked at Steampunk, Inc. as a Data Scientist SME II from 2021 to 2022. During his one-year tenure, he contributed to various data science projects, applying his expertise in machine learning and data analysis to support organizational goals.
Experience at Environmental Defense Fund
Farzad Radmehr served at the Environmental Defense Fund from 2016 to 2021. He began as a CRM Associate for two years before advancing to the role of CRM Analyst for three years. In these positions, he focused on data management and analysis to support environmental initiatives and organizational strategies.
Education and Expertise
Farzad Radmehr studied Industrial Engineering at West Virginia University, earning his degree from 2012 to 2016. He also completed a Data Science Career Track at Springboard, enhancing his skills in data science methodologies. His technical expertise includes deploying machine learning models on cloud platforms such as GCP and AWS.
Technical Skills and Tools
Farzad Radmehr is proficient in advanced machine learning frameworks, including TensorFlow and Keras, for model development. He utilizes Docker for containerization and deployment of data science applications. Additionally, he is skilled in developing REST APIs using Flask and POSTMAN, and he employs data visualization tools like Tableau and Advanced Excel to present analytical insights.