Yazdan Jamshidi

About Yazdan Jamshidi

Machine Learning Applied Scientist with over 9+ years of experience in machine learning (statistical, mathematical, Deep learning – CNN, RNN, Transformers) and data mining across multiple domains including Finance, Medical, Computer Vision and Robotics. • Performed Information Extraction using Computer Vision and NLP algorithms coupled with Deep Learning (DNN and CNN), Generative AI, and TensorFlow.• Experience in Machine Learning, Data mining with large datasets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modelling and Data Visualization.• Used Pandas, NumPy, Seaborn, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various predictive models and utilized Machine Learning algorithms such as linear regression, multivariate regression, naive Bayes, LDA, Random Forests, K-means, SVM, HMM, etc. for data analysis.• Responsible for design and development of advanced R/Python programs to prepare transform and harmonize data sets in preparation for modelling.• Proficient in Statistical Modelling and Machine Learning techniques in Forecasting/ Predictive Analytics, Segmentation methodologies, Regression based models, Hypothesis testing, Factor analysis/PCA, Ensembles.• Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing data mining and reporting solutions that scales across massive volume of structured and unstructured data.

Experience

1. Senior Principal Machine Learning Engineer

   Palo Alto Networks

   Jan 2024 — Present · CA, US

Education

• University of Central Florida

  Master's degree, Computer Vision

• Stanford University

  Innovation and entrepreneurship

  2022 — 2023

• Shahid Bahonar University of Kerman

  Master's degree, Artificial Intelligence