Bernard Ong brings the best of people, process, projects, and technology to operate and deliver with the highest performance levels. An ambitious executive and data scientist with a track record of driving innovative technology programs to successful implementation, he has worked mostly in Fortune 500 companies like Citibank, Standard and Poor’s, and MetLife. Bernard blends machine learning skills with great domain knowledge to drive strategy and execution excellence. Background includes managing multimillion-dollar portfolios, turnaround initiatives, and operational development. Champion of process improvements and business solutions, as well as release and delivery management. Skilled on machine learning models and algorithms, predictive analytics, R and Python development. In his most recent project, he took on a Kaggle challenge to predict consumer debt default and achieved the Top #1 position out of 925 teams to accurately predict default using advanced model ensemble techniques with hyper-stacking, voting classifiers, deep learning Restrictive Boltzman Machine models, and hyperparameter Bayesian optimizers. Prior to that, he also engaged in the Kaggle Higgs Boson challenge to accurately predict the particle signal with high accuracy, finishing in the Top 2% position out of 1,785 teams.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
