Mahdi Asghari

Engaged in designing clustering models such as K-means and GMM and implemented anomaly detection models, like COPOD and RRCF, for detecting outliers within each cluster. Participated in developing an MLOps platform using AirFlow and MLFlow. Applied statistical process control in the management of unaccounted-for gas. Responsible for designing RUL prediction models, using statistical models such as AR, Wiener Process, and Survival Analysis, as well as ML models such as SVM and LSTM. Responsible for designing insightful analytical dashboards. Directed the assessment of the data maturity of a VOD system and designed a roadmap for improvement.

Developed a module for gathering streaming data from TV channels and extracting their audio. Directed the process of applying ASR to the audio files and designing search algorithms. Designed and Developed the TV Analyzer website.