Conducted extensive benchmark tests on large-scale time series data across databases, delivering pivotal insights for data management

Leveraged PCA, dimensionality reduction, and correlation analyses, unveiling intricate trends and driving hypothesis verification

Deployed ML models on high-volume, high-velocity time series data, effectively enhancing the predictive accuracy and the understanding of bioreactor processes

Introduced students to machine learning fundamentals such as supervised and unsupervised learning and reinforcement learning