You may want to read more information about me.
My Background:
I come from a STEM field with an analytical history analyzing time series. My very first encounter with time series was Vibration Analysis and Machine Health Data which I really loved, after graduation from Ryerson, The reason to switched to Data Science was its flexibility in different work environments, remote, hybrid, or on-site.
Education:
I have a bachelor's of Mechatronics Engineering from Sharif University of Technology, Kish Island campus, and a Master's of Mechanical Engineering from Toronto Metropolitan University (a.k.a Ryerson).
Skills: Data Science, Machine Learning, and Deep Learning
Languages: Python and R, SQL
Packages: Pandas, Scikit-Learn, Scikit-Surprise, Keras, TensorFlow
Big-Data Packages: PySpark, Hive, Hadoop, Kafka
Cloud: AWS, GCP, AZURE
Interests: NLP, Recommender Systems, Time Series Analysis, Anomaly and Fault Detection, Regression and Classification Models, and Making Pipelines.