Mehdi Ordikhani-Seyedlar

Mehdi Ordikhani-Seyedlar has a strong background in data science and machine learning. Their most recent position was as a Team Lead at SameSystem - Workforce Management, where they were responsible for the quality of released models, data quality, ML pipeline, and code quality. Mehdi also took charge of designing and architecting comprehensive machine learning solutions to address complex business problems.

Prior to that, Mehdi worked as a Senior Machine Learning Engineer at Issuu, where they focused on implementing machine learning solutions. Mehdi also has experience as a Data Scientist at Vivino, where they built models for wine label classification, sentiment analysis of users' reviews, and other related tasks.

Mehdi's earlier experiences include positions as a Principal Computer Vision Engineer at Karolinska Institutet, a Data Scientist in Human-Machine Interaction at CHUV | Lausanne university hospital, a Doctoral Student in Digital Signal Processing at DTU - Technical University of Denmark, a Visiting Scholar in Real-Time Digital Signal Processing at Duke University, and a Masters thesis project at the University of Freiburg focused on signal processing and data mining.

Overall, Mehdi Ordikhani-Seyedlar has extensive experience in various aspects of data science, machine learning, and signal processing.

Mehdi Ordikhani-Seyedlar completed their Doctor of Philosophy (Ph.D.) in Electrical Engineering at DTU - Technical University of Denmark from 2012 to 2016. Prior to that, they pursued a Master's degree in Digital Signal Processing at the University of Strasbourg from 2009 to 2012. Additionally, they have obtained several certifications in related fields such as Artificial Intelligence, Mathematical Optimization, Product Management for AI & Data Science, Predictive Modeling, Signal Processing, Data Analysis with Python, and Python for Data Science from various institutions including MIT Sloan School of Management, IBM, and Udemy.