Sidney Le Email & Phone Number

Oakland, Ca, Us

Santa Clara, California, United States

San Francisco Bay Area

Designed and implemented experiments based on the analysis of predictive models, leveraging machine- and deep-learning in Python alongside large-scale clinical EHR data, including unstructured text, to drive novel health research. Consulted on statistical matters across the company, particularly on clinical trial design and hypothesis testing, which included A/B testing. Built data processing and analysis functions into Python codebase. Wrote and published technical papers to demonstrate novelty and significance of experimental results; developed technical aspects of grants to fund large scientific and engineering projects:* Worked cross-functionally to construct research plans and timelines* Managed and processed large-scale clinical EHR data for use in analysis using a Linux machine on the AWS cloud computing platform, MongoDB, and PostgreSQL* Generated analysis reports and visualizations using Matplotlib/Seaborn* Worked across teams, including engineering and sales, in order to communicate data needs and usesApplied techniques include: * transfer and semi-supervised learning, * deep learning (RNN, CNN, feature extraction, GAN) (implemented in Keras, Tensorflow, PyTorch) * NLP (Doc2Vec) * supervised learning (tree ensemble, generalized linear models, regression analysis, SVM)* unsupervised learning (clustering, dimensionality reduction)

Hayward, California

Build insights on how certain aspects of the health care process can be used to inform mortality prediction software.

Worked with teams of sociologists and students to develop research and social good products. Lead project development and determined technical goals and timeline for Demo Watch, formerly Deciding Force. Developed machine-learning pipeline utilizing clustering and NLP to extract sociological insight from user-generated data.

Berkeley, California, United States

Taught introductory data science as an undergraduate student instructor in one the first, and fastest-growing, introductory data science university courses in the country. Role included responsibilities such as: developing course material; conducting discussion and lab sections, office hours, and exam prep sessions; and advising students on data science as an interdisciplinary field of study.

Processed and digitally archived film ephemera, such as press stills, press packets, news clippings.

Built predictive models for food need in Alameda County in collaboration with the Alameda County Community Food Bank. Participated in the CTSP Data for Good competition; evaluated affordable housing policy initiatives and research in California and produced unique tools and indexes in order to recommend solutions for the affordable housing crisis.

Bachelor Of Arts (B.A.), Statistics

Activities and Societies: SUSA, URAP

Education record

Activities and Societies: Journalism -- Editor-in-chief of school newspaper