Mohsen Pirmoradiyan

Mohsen Pirmoradiyan began their work experience as a Seismic Data Analyst at the National Iranian South Oil Company (NISOC) in 2006 and continued in that role until 2018. Mohsen then joined Linköping University as a student in 2019. In 2021, they worked at Ericsson as a Master Thesis Student, where they developed a machine learning classifier to detect high end-to-end latency issues in a 5G network. Mohsen also conducted a causal inference study using Causal Bayesian networks to diagnose the underlying causes of predicted latency issues. Currently, they are working as a Computer Vision Engineer at Arboair starting in February 2022. The end date for this role is not specified, indicating that they are currently employed.

Mohsen Pirmoradiyan completed their Master's degree in Statistics and Machine Learning from Linköping University, from 2019 to 2021. Prior to that, they earned another Master's degree in Geophysics and Seismology from the University of Tehran, from 2009 to 2011. Their Bachelor's degree in Petroleum Exploration Engineering was obtained from the Petroleum University of Technology, where they studied from 2000 to 2004. Additionally, they have obtained several certifications in various fields, such as Semantic Segmentation with Amazon Sagemaker, BigQuery Basics for Data Analysts, AWS Machine Learning Foundations, Introduction to PySpark, Building a Recommendation System with Python Machine Learning & AI, SQL: Data Reporting and Analysis, Advanced Python, GitHub for Data Scientists, Learning GitHub, Python Object-Oriented Programming, and The Complete SQL Bootcamp 2021: Go from Zero to Hero. These certifications were obtained from reputable institutions such as Coursera, Udacity, DataCamp, LinkedIn, and Udemy, between June 2021 and August 2022.