Miguel Angel Mayhuire
Senior Data Scientist @JCDecaux
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WORK HISTORY
Senior Data Scientist @JCDecaux
Build machine learning pipelines (feature store, training, inference and monitoring) for predictive maintenance consuming high frequency time series data from 80 countries and more than 5M IOT devices Design and build data intensive applications using AWS cloud data stack such as Lambda, Step Functions, Glue, RDS, ECS, SQS, EMR and AthenaTrain and fine-tune computer vision and NLP models with Pytorch, Sagemaker and Hugging FaceBuild real time and semi real time data pipelines using Apache Flink, Kafka, Quixstream, Airflow, DBT, and SnowflakeTrain supervised and unsupervised models for geospatial dataBuild video streaming applications for display video failure detection using machine learning and advanced statistical modelsMaintain internal MLops tools such as Mlflow, Feast, Nannyml and Evidently
EDUCATION
Udacity
Machine Learning Engineer, Computer Science
Universidad Católica de Santa María
Bachelor of Engineering - BE, Finance
EDHEC Business School
Msc Data analytics and Artificial Intelligence
ABOUT MIGUEL ANGEL MAYHUIRE
Miguel is a data scientist and his passions are machine learning and bayessian statistical modelling. He has fast learning capacity and curiosity. He has acquired strong experience working in business projects using machine learning and statistical modeling for finance, fraud, and risk using big data tools on cloud. His topics of interest are time series forecasting, bayessian statistics, statistical arbitrage for financial markets, computer vision and MLops
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