Python Data
Resume:
EDUCATION
University of San Francisco
Aug **** – present
M.S. in Health Informatics
University of California, San Diego
Sept 2011 – June 2016
B.S. in Bioinformatics
Minor in Psychology
TECHNICAL SKILLS
Languages
Python
R
SQL
C++
Data Science
Machine learning
Data visualization
Data wrangling
Exploratory data analysis
Data modeling
BiomaRt
Bioinformatics analysis tools
Wet Lab
In-vitro and in-vivo analytical
techniques
o TaqMan
o QuantiGene
o Immunostaining
o ELISA
o Western blot
Microscopic imaging
BSL1 and BSL2 tissue culture
DNA and RNA synthesis and
purification
********@*****.***
San Francisco, CA
PROJECTS
Epigenetic Control of DAX-1 Expression
Technologies: python, R, exploratory data analysis, bioinformatics analysis
> Collaborating with Professor Christina Tzagarakis-Foster in studies of transcription factor DAX-1 and its involvement in cancer
> Exploring metadata from The Cancer Genome Atlas projects such as cervix cancer (CESC) (13GB) and pancreatic cancer (PAAD) (2GB) projects
> Analyzing DNA methylation information to determine regulations of DAX-1 expression in different types of cancer
Predicting Diabetes
Technologies: machine learning, python, pandas
> Conducted exploratory analysis on diabetes dataset with 10+ variables
> Utilized confusion matrix to evaluate accuracy of diabetes prediction modeled by support vector machine with rbf and poly kernel
> Optimized prediction outcome by parameter tuning, improving prediction accuracy up to 76%
Investigation on Births Dataset
Technologies: R, exploratory data analysis, and regression modeling
> Investigated and analyzed 1000+ births data to create informative plots to determine features related to birthweight of babies
> Performed statistical and hypothesis tests over 14 variables to find highly correlated predictors
> Created linear and logistic regression models to reveal that length of pregnancy (fitted coef = 0.70) and marital status (fitted coef = -0.67) have the most impact on babies’ birthweight
EXPERIENCE
Arcturus Therapeutics 2016 Oct- 2019 June
Research Associate I (2017 Aug – 2019 June)
> Led and worked on 10+ projects focusing on rare genetic disorders
> Designed plasmids and primers and optimized DNA and protein sequences using human optimized sequence algorithm
> Performed in-vitro and in-vivo analytical techniques to determine effectiveness of mRNAs targeting specific diseases
> Created python programs for high through put tasks such as siRNA sequences generation with specific modifications
> Developed standard SOPs and assist in training new employees Research Assistant (2016 Oct – 2017 Aug)
> Performed western blot, transfection, ELISA, cell culture and protocol optimization for teammates across multiple projects
> Generated and purified large quantity of plasmid and mRNA for in-house linkedin.com/in/sharonlee88
github.com/slee8835
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