Data analyst equipped to run analysis and visualization with skills in Python, JavaScript, SQL, Tableau and Machine Learning. Enjoys challenges, providing detailed analysis of large datasets and proposing insights to solve related problems. Analytical skills, strength in collaborating with people of diverse backgrounds, and effective communication abilities with team members makes a valuable addition to any team.
Increase daily productivity by creating Python scripts to automate workflow. Identify 9 hypertension-associated deficiencies by data-mining 10000+ medical records using SAS. Optimize test results and shorten TAT by implementing Machine Learning algorithms using Python.
Lectured on hypothesis testing and statistical modeling and tutored students in the application of statistical software (STATA, R, SAS).
Independently worked on a multi-disciplinary project of phytoremediation and solved research problems with minimal supervision.
A 24-week intensive program focused on gaining technical programming skills in Excel, VBA, Python, R, JavaScript, SQL Databases, Tableau, Big Data, and Machine Learning.
GPA 4.0/4.0
Thesis title “Identification of Genes Associated with Quantitative Traits Involved in Cardiovascular Disease and Lipoprotein Metabolism”
GPA 3.25/4.0
Thesis title “Enhanced Rhizodegradation of Munitions Explosives and Degradates by Selected Native Grass Species”
2828 Walnut Bend Ln, Apt 234
Houston, TX 77042
hyangkenny@gmail.com
+1 573 864 1753
