About
As an experienced project manager and technical educator, I specialize in designing and…
Experience
Education
Licenses & Certifications
Courses
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Artificial Intelligence for Robotics
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Computer Vision
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Data & Visual Analytics
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Graduate Algorithms
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Intro to Health Informatics
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Intro to Information Security
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Intro to Operating Systems
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Machine Learning
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Machine Learning for Trading
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Reinforcement Learning
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Projects
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Reinforcement Learning
• Implemented a Deep Q-Network to solve Lunar Lander problem in OpenAIGym
• Used a neural network with 2 hidden layers and 128 neurons to approximate results of actions (fire left, right, center engine, or do nothing)
• Task was achieved at around 2000 episodes where lander scored an average of 200 or more points over the last 100 iterations. -
Trading Simulator
• Developed a trading strategy to increase performance on portfolio to beat benchmark
• Historical data is used to calculate technical indicators and train a supervised learning algorithm to
determine if a stock should be classified as long, short, or cashed -
Warehouse Robot Delivery System
• Navigate robot through an unknown, randomly generated warehouse, picking up and delivering packages
• Develops a dynamic motion model from noisy sensor readings at each move
• Uses A* search algorithm to reduce cost and increase performance -
Image Classification (Faces)
• Compared the performance of a classifier using eigenvectors in a Principal Component Analysis (PCA) in combination with Ada Boosting to a Viola Jones Boosting Algorithm that uses Haar Features to classify face images
• Achieved an average of 15% error on the testing set -
Flight Delay Prediction Tool
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• Worked in a team of 6 to predict the probability of flight delay using weather metrics.
• Used API calls to collect historical flight data from Bureau Transportation Statistics (BTS) in
combination with historical and current weather forecast to determine coefficients in unique airline
specific linear regression models.
• Deployed an interactive web tool that displays historical data using a choropleth map and line graphs
that display changes in probability with respect to…• Worked in a team of 6 to predict the probability of flight delay using weather metrics.
• Used API calls to collect historical flight data from Bureau Transportation Statistics (BTS) in
combination with historical and current weather forecast to determine coefficients in unique airline
specific linear regression models.
• Deployed an interactive web tool that displays historical data using a choropleth map and line graphs
that display changes in probability with respect to changes in weather and location.
Languages
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Chinese
Limited working proficiency
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