Elena Denner
Durham,NC
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Engineer
Fidelity Investments
01.2023 - Current
- Collaborated and contributed to the mid-tier and backend applications of Decision Support Tool, a product designed to assist users in healthcare enrollment by estimating their personalized total costs under each provided plan.
- Developed and supported web APIs using Java 17 and Spring Boot 3 to handle extraction, cleaning, and summarization of health care data for consumption by a recommendation engine.
- Led team in design and development of new business feature to include Dental and Vision Support in DST.
- Implemented services for inserting, updating, and deleting records in DynamoDB using AWS SDK.
- Improved API performance by identifying bottlenecks and introducing asynchronous processing where applicable.
- Created Splunk dashboard for monitoring of application logs and analytics of application requests.
- Enhanced application error handling and wrote scheduled Splunk queries for reporting of encountered errors.
- Worked with and maintain container orchestration services (Docker and Kubernetes) and troubleshoot EKS issues using kubetcl commands.
Data Analyst Intern
SCRAM Systems
08.2022 - 12.2022
- Built web scraper project in Python to parse location data from HTML pages.
- Cleaned and formatted data into a relational format to be stored in SQL Server.
- Designed tables in SQL Server following industry best practices for relational database design.
- Implemented stored procedures in SQL to handle complex queries and optimize database engine performance.
- Computed quantitative summary statistics regarding site locations to answer business questions and determine areas for company growth.
- Created data visualizations in Excel to summarize findings and presented final output to business leadership.
- Implemented task scheduler to run the web scraper and stored procedure each month for automated report generation.
Student Research Intern
University of Michigan
06.2021 - 08.2021
- Collaborated on Electronic Health Records Project to build a logistic regression model to classify hospitalization status of ~900,000 patients using their comorbidities, BMI, patient demographics, and clinical labs.
- Conducted extensive data wrangling and text mining in R.
- Feature engineered lab data into binary variables in order to train a LASSO penalized linear regression model on the data set.
- Concluded that clinical labs data did improve model accuracy beyond demographics and comorbidities from 69.8% to 80.5% and that pregnancy related lab tests contributed the most predictive power.
- Presented the project findings at a research symposium to Michigan Biostatistics Faculty and Staff.
Education
Bachelor of Science - Applied And Computational Mathematics
University of Notre Dame
Notre Dame, IN05.2022
Skills
- Java and Spring Framework
- AWS DynamoDB
- JUnit and Mockito
- Docker and Kubernetes
- Splunk and Datadog
- Agile and Jira
- SQL Server
Certification
AWS Certified Cloud Practitioner - April 2023
Issued by Amazon Web Services Training and Certification
Timeline
Data Engineer
Fidelity Investments
01.2023 - Current
Data Analyst Intern
SCRAM Systems
08.2022 - 12.2022
Student Research Intern
University of Michigan
06.2021 - 08.2021
Bachelor of Science - Applied And Computational Mathematics
University of Notre Dame
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