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Name: Tom Do

Type: User

Bio: Data Science and Business Analytics professional with a strong passion with Quantitative Finance and Real Estate. USC MSBA 24'

Location: Los Angeles. CA

Tom Do's Projects

call_option_pricing_prediction

Build 2 machine learning models: a regression model to predict Black-Scholes option price and a classification model to predict whether Black-Scholes model overestimates or underestimate the actual option price.

credit_card_application_identity_fraud_aiml_model

Tackle identity fraud in credit card application using intensive data analytics and advanced machine learning method to save companies from financial losses

healthcare_careutilization_market_research

Healthcare Claims Data Analytics to undercover care utilization of beneficiaries with cardiovascular or/and cancer condition

nosql_homepriceprediction

Build MongoDB schema to house real-estate data, data pipeline to streamline data, and regression model to predict home price

tjx_sites_selection

Building machine learning solutions to predict new potential locations for TJX brand stores (TJMaxx, Marshalls, and HomeGoods) that optimize total visits and revenue

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