Asad Molayari

Asad Molayari has a diverse and extensive work experience in the fields of data science, analytics, and engineering. Asad has held various roles in different companies and startup ventures.

Starting in 2008, Asad completed a summer internship at SAICO in the water and wastewater treatment industries. Following this, they worked as a mechanical engineer at SAICO from 2010 to 2012, where they designed and optimized positive displacement blowers and modeled acoustic enclosures for soundproofing.

In 2012, Asad joined The University of Tulsa as a research assistant at the Tulsa University Separation Technology Projects (TUSTP) and also served as a graduate teaching assistant at the Production Lab until 2014.

From 2014 to 2015, Asad worked at Baker Hughes as a production optimization engineer and data analyst. In this role, they monitored and analyzed operational behavior using SCADA and real-time sensor data, identified anomalies, and developed forecasting models.

Moving on, Asad joined eLynx Technologies as a data scientist in 2015. During their time there, they developed time series machine learning models for anomaly detection and failure prediction, built highly predictive features, and contributed to the development of the eLynx Anomaly Detection Model.

In 2017, Asad became a co-founder of Trivyol, where they operated and strategized the startup, managed a team of developers, and designed web and mobile applications.

In 2019, Asad co-founded NAVA Analytics, where they developed machine learning models to detect, predict, and classify anomalies in high-frequency time series data and performed in-depth exploratory data analysis.

Also in 2019, Asad co-founded Panalyticsai, where they served as the Director of Analytics. Asad'sresponsibilities included developing end-to-end data acquisition, ETL, data analytics, prediction, and forecasting models for gas compression systems.

From 2021 to the present, Asad has worked at Danaher Corporation as a senior data scientist and R&D lead. Asad'srole involves leading data science projects and utilizing their expertise in machine learning.

Asad's most recent and upcoming work experience is anticipated at Veralto, where they will serve as a senior data scientist and R&D lead from 2023 onwards.

Overall, Asad Molayari has demonstrated their proficiency in data science, analytics, and engineering through a wide range of roles and responsibilities in various organizations.

Asad Molayari holds a Master of Science (M.Sc.) degree in Petroleum Engineering from The University of Tulsa, which was obtained from 2012 to 2014. Prior to that, they completed a Master of Science (M.Sc.) degree in Statistical Thermodynamics, and Fluid Mechanics in MEMS from Iran University of Science and Technology, graduating within the top %7.5 of their class from 2009 to 2011. Asad also has a Bachelor of Science (B.Sc.) degree in Mechanical Engineering from Amirkabir University of Technology - Tehran Polytechnic, which was obtained from 2004 to 2009. In addition to their formal education, Asad has pursued various certifications in areas such as machine learning, deep learning, natural language processing, and data science from institutions like Coursera, Udemy, and DataCamp, with certifications dating back to 2015.