Data Scientist
Resume:
Steven Liu
Entry Data Scientist
San Francisco, CA 94134
adjl10@r.postjobfree.com
https://sdevinl.github.io
PROJECTS
Do you FF? — League of Legends Match Outcome Notebook Developed a classification model with Scikit-Learn and SciPy that is able to obtain 73% test accuracy for the outcome of the match given data from the first 15 minutes of the match.
Global Dashboard — Compare Sales by Continent Website Visualizes the sales between Dingus and Widget across continents with Highcharts.
MangaScraper — Read Manga Python Script
Uses BeautifulSoup to scrape manga images from selected sites. Multiple ways to view the images such as downloading or using a gui. AirBnB Kaggle Challenge — Placed top 25%
Applied imputation, feature selection, feature encoding, and hyper tuning to develop a Gradient Boosting regression model to predict the price of AirBnB listings in NYC.
Climate Time Correlation— ESP32 Device Analysis
Records live data such as temperature, location, and humidity with the ESP32 devices into a database. Developed an API in Python and uses SQL to efficiently query data from the database. Dashboard uses a Google Charts to maneuver across the analysis collected from various ESP32 devices scattered across the world.
Benchmark of GCN Variants — Result Replication
Compares the performance of the variants of a Graph Convolutional Network in real-world graph datasets. Classical, GCN-LPA, and Graph-SAGE. WORK EXPERIENCE
K-Element BBQ, San Francisco — Server
MONTH 2016 - PRESENT
Developed soft-skills such as time-management, collaboartion, and creative thinking.
EDUCATION
University of California - San Diego
Bachelor’s of Data Science
2018-2021
PROGRAMMING LANGUAGES
● Python
● JavaScript
● SQL
● Java
● R
TECHNICAL SKILLS
Data Wrangling
Pandas
NumPy
Data Visualization
Matplotlib
Seaborn
D3js
Highcharts
ggplot
Statistical Analysis
Machine Learning
SciPy
Scikit-Learn
Neural Networks
PyTorch
Database Management
Web Scraping
BeautifulSoup
AWARDS
Provost Honors 2020
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