Hello, I'm
Elena Song
Software Developer
Hello, I'm
Software Developer
Get To Know More
3+ years Research Analyst
1+ years Self-taught Developer
B.S. Genetic Engineering
M.S. Biotechnology in Neuroscience
M.S. Information and Library Science
Hello there,
I'm Elena, a passionate software developer specializing in backend systems and data-driven solutions.
Through diverse project experiences, I've refined my expertise in optimizing database performance.
I excel in collaborative settings, leveraging my problem-solving abilities to contribute effectively and learn from others.
Outside of work, I enjoy indulging in creative pursuits like building with Lego and exploring photography.
May 2022 - Sep 2022
I developed Python libraries to characterize and analyze diagnostic features related to social risk factors, enhancing the capability to understand health disparities. Additionally, I designed and executed statistical models, such as linear regression and two-way ANOVA, to investigate the impact of social determinants on patient care quality. Utilizing Tableau, I created data visualizations illustrating the impact of socio-economic factors on healthcare outcomes based on 22k+ EPIC Electronic Health Records (EHRs) from NC's Women's Hospital.
Sep 2020 - June 2021
I collaborated with a cross-functional team to optimize SQL database performance, ensuring efficient access to critical patient data and reducing query response times by 25%. Together, we designed and implemented a comprehensive COVID-19 patient outcome reporting system, providing daily, accurate, and real-time insights for clinical evaluations during the pandemic. Additionally, in collaboration with another team, we transformed PubMed XML data into a structured CSV format for SQL database ingestion, facilitating efficient data analysis and research.
Developed a machine learning model for predicting sports match outcomes by collecting the European Soccer match database. Conducted in-depth exploratory data analysis (EDA) to identify relevant patterns and relationships. Leveraged a diverse array of machine learning algorithms, including logistic regression and XGBoost to create a robust prediction model. Evaluated model performance using metrics like accuracy, precision, and recall with cross-validation to ensure reliability.
Learn moreArchitected Enhanced Entity-Relationship (EER) diagram to establish a data model with normalized relations and functional dependencies tailored to bicycle subscription services. Utilized PHP and MySQL in the XAMPP environment to facilitate efficient data loading such as time slot availability and reservation features.
Researched electronic health record systems such as SigmaCare and eClinicalWorks. Interviewed healthcare professionals to analyze operational issues and assess the advantages and disadvantages of hybrid EHR. Utilized Agile methodology, Sequence Model, and Affinity Diagram for effective system analysis, focusing on optimizing eMAR benefits.
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