Bio

Machine / Deep Learning, NLP, AutoML, MLOps, AWS, Business Analytics. Strong technology and business acumen with resilience in decision making and demonstrated ability in engaging and communicating with stakeholders, as well as solid technical, strategic and business analysis skills with a drive for solving complex problems and delivering solutions. 17+ years’ hands-on project management and team leadership (small and large teams), including AI technologies, process automation, cloud computing, UX, QA/QC, agile, SDLC, with engineering mindset and delivery focus. * Sample results: > 80 increase in operational efficiency (AI) ~ 200M cost reduction (AML) > 100 projects in 3 years with cost avoidance (saved 100M for a Fortune 100) * Expertise in leading data-driven initiatives and directing AI and Data Science projects to accelerate business value ROI. Select Skills: - AWS | Docker | MongoDB | Oracle SQL Developer | PyCharm | GitLab | Postman | IntelliJ | Eclipse | Jupyter | Tableau | PowerBI | Sisense | ETL processes | Machine Learning | Deep Learning | NLP | Python (Pandas | Numpy | Scipy | Matplotlib | Seaborn | Scikit-Learn | Tensorflow | Keras) - Workshops (2019 - 2020): Data Analytics, Machine Learning, Blockchain, Startups, DevOps, Security - AWS multidiscipline courses, Coursera Machine Learning, Google Machine Learning, Microsoft Data Science. - Familiarity with DataIku Enterprise AI, H2O.ai and Databricks Public Speaking: Professor, Conference Panelist, Public Workshops, AI Hackathon organizer, 2014 - present