Inside Out
Several machine learning and text analytics methods were used to analyze the movie script.
Steven Lin
Data Science
Projects
Collection of various projects related to data science, big data analytics, machine learning, predictive modeling and data mining
Kaggle: Don't Get Kicked!
Built various supervised learning models to identify relevant car attributes and predict bad buys by dealers at car auctions.
Beer Visualization
An exploratory data analysis through several visualization techniques was done to gain insights on beer reviews that were webscraped from Beer Advocate.
Airline Visualization
Exploratory analysis through visualization of airline data.
Catalog Sales
Data Mining of a retailer sales catalog to find customers to target.
Electronic Nose
Implemented supervised machine learning methods using colorimetric sensor array data to classify toxic compounds.
American Time Use Survey
Exploratory analysis of how Americans spend their time.
Green Schoolyards
Research on the effect of green schoolyards on academic performance.
Crime Analysis
Regression analysis to determine what factors influence crime.
Other Projects
Technology Stack
Python | R | SQL | Spark | Hadoop | Java | D3.js | Javascript | HTML | GitHub
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Bowling Simulation
Discrete-event simulation model to analyze the operation of a bowling center
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Step-cone Pulley Optimization
Investigation of the optimal design of a step-cone pulley
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Dining Optimization
Optimization analysis of University Dining Operations
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Traveling Salesman Problem
Algorithm immplementation in Matlab for 150 cities in US
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Enzyme Decision Analysis
Decision analysis case study of enzyme
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Medical Decision Analysis
Decision analysis case study of medical diagnosis
About Me
I am a Data Scientist and Engineer with a passion for using science and technology to solve challenging problems that have an impact on people's lives.
I have experience developing data science solutions in startups, Fortune 500 companies and family-owned businesses in diverse industries, ranging from airline, entertainment and manufacturing to internet and technology. Some projects include predicting hotel occupancy, clustering customers based on app usage behavior, building customer retention models, analyzing traffic data using sensors, modeling loyalty rewards redemption and text mining twitter data and movie scripts.
I studied Engineering, Statistics and Analytics at the University of Illinois at Urbana-Champaign and Northwestern University. In my free time I enjoy traveling, learning new technologies and playing sports.