Samy Movassaghi, PhD's Linkedin Analytics

Award winning technical expert in Deep Learning, Machine Learning & Artificial Intelligence. Feature in Google AI Blog for making a breakthrough in Computer science! Gold Medal for first place in Google’s Go competition. Featured as a Data star and ML Guru in multiple media from the ABC Science show to The Financial Review. Established a diverse skillset in applying DL/ ML in multidisciplinary domains with extensive computational & analytical expertise in a diverse range of applications from Financial Services to eHealth. Applied Deep Learning, Machine Learning and data science outside of academia at companies and laboratories both large and small from healthcare to financial services. • Experience with top-tier industry partners: Google, Vanguard, Phillips, Tata Consulting & Venture Capitals. •. Active in Hackathons/research showcases with numerous awards globally: NASA, Healthhack, Microsoft, etc • Exceptional technical leadership, management and commercialisation experience • Strategic planning &Program Management • Strong stakeholder management • Establishing and maintaining rapport with executives&senior management • Consulting startups in deep-tech ✔ Here is a link for asking me for speaking engagements, etc: https://docs.google.com/forms/d/1Ozro06tKnBLjmCLvE6Kpsn1R2htNvfby8ufdc6RLs1o/ ✔ Here is the link to my calendar to schedule a call: https://calendly.com/movassaghi-samaneh/30min 📚 TECH STACK ➤ Machine Learning: Classification, Clustering, Ranking, Regression, Dimensionality Reduction, Clustering and Anomaly Detection, Expectation Maximisation (EM), Reinforcement Learning, Federated Learning, Transfer learning, Semi-supervised Learning, Self-Supervised, Meta-Learning ➤ Deep Learning: NN, CNN, RNN, Transformers, LSTM, GRU, Seq2Seq, GANs, Autoencoder, AutoML ➤ Statistics: Hypothesis testing, Correlation testing, Significance testing, ANOVA ➤ Feature Selection: Filter methods, Wrapper methods, Embedded Methods, Hybrid methods ➤ Languages: Python, C++, R, MATLAB, MySQL ➤ Packages: Tensorflow, TFX, Keras, Google Cloud, AWS Sagemaker, Ray, Coach, OpenAI ➤ Libraries: NumPy, Pandas, SciPy, Scikit-Learn, statsmodels ➤ Data Visualisation: Tableau, Matplotlib, Plotly, Seaborn, Google Facet, Tensorboard ➤ AWS Services: S3, EC2, Sagemaker (Notebook, Studio, Experiments),Clarify, Model Monitor ➤ Business Intelligence (BI): Pentaho Business Analytics, IBM Cognos Insight, Data Warehousing, Extract-Transfer-Load (ETL) ➤ Other: SQL,Tableau, ETL, LATEX, Git Google Scholar: https://scholar.google.com/citations?user=ILv8KzoAAAAJ&hl=en