Henry Cham Email & Phone Number

Jersey City, NJ, US

Remote

• Developed a Pytorch computer vision model that uses DINOv2 embeddings to predict the “fanciness” of ahome based on interior real estate images; the model helps insurance carriers adjust premiums
• Fine-tuned an EfficientNet computer vision model to detect the presence of chimneys from aerial imageryat an accuracy of 88% to help insurance carriers adjust premiums
• Built a KNN model and data engineering pipeline in python that imputes missing values for 29 housefeatures on 72 million single-family homes in the US; the imputed values are a core part of Cape’s prefillproduct that.

New York City Metropolitan Area

• Led a team of 4 data scientists and formulated the quarterly OKRs to ensure that projects were reasonablescoped and our team better supported the operations, finance, and customer-facing analytics teams
• Created a time series model for the operations team that forecasted the amount of human labeling workfor the next few weeks, which reduced the amount of paid labelers who were idle by 62%
• Collaborated with the customer facing analytics and engineering teams to develop and release a consumerlender analytics product, which has a suite of 30 cash flow measures for loan underwriting
• Recruited 2 data science interns, helped them complete successful data projects, and convinced leadershipto convert them to full-time employees

Greater New York City Area

• Recommended opportunities to automate document verification
• Created a deep learning NLP model that predicted the industry classification of small businesses with 60% accuracy using Python, tensorflow, numpy, pandas, and Fasttext; the model was deployed and supports a new credit.
• Built and maintained ETL pipelines that processes 100,000 financial documents every day using Python, SQL, AWS, Postgresql, and Redshift
• Developed the business logic for measuring company-wide north star metrics including document accuracy, document volume, and turn-around time; the new reports help operations to process client documents on time and.

Greater New York City Area

• Mentored 50 students on python, statistics, data visualization, and machine learning
• Explained complex data science ideas to students with enthusiasm and empathy

• Built a web app that helps new yoga instructors find good locations to open new yoga studios
• Designed a logistic regression model that predicts which zip codes in New York state will open a yoga studio from demographics data with a recall rate of 74% using Python and scikit-learn

Houston, Texas Area

• Discovered neurons in the rodent brain that fire according to the 3D head orientation of the animal. These neurons are theorized to form a neural compass that is critical to navigating in 3D space.
• Published dissertation research in Nature Communications, a high-impact open access journal

Doctor Of Philosophy - Phd, Neuroscience

Bachelor Of Arts - Ba, Psychology