WengHang Wong

- Developed and deployed machine learning models (e.g., supervised, unsupervised, deep learning) to drive business insights and improve decision-making processes. - Collaborated with cross-functional teams (e.g., finance, maintenance) to identify and execute data-driven solutions and opportunities. -Utilized Python and data science libraries (sklearn, Scipy, Numpy pandas, PyMC3) to implement advanced algorithms and statistical models. - Built end-to-end data pipelines on cloud platforms (Azure).

SHM: Crack detection using deep learning Collaborated with civil engineers to perform DL on damage detection, analyzing 2-dimentional time series data from fiber sensors. Applying advanced technologies to address real-world structural integrity problem.

ML, DL, NLP, Regression, Forecasting, Classification, Clustering, Causal Inference, CNN, RNN, Text Mining, Statistical Modeling, Data Visualization, Data Engineering Pipelines, Simulation methods, Bayesian inference