DORCAS MANUELA OURAGA
Union,USA
Summary
Experienced data scientist with a strong background in statistical analysis, machine learning, and data visualization. Proficient in Python, R, SQL, and various data processing tools, with a focus on delivering actionable insights. Highly regarded for collaborative approach, adaptability, and consistent achievement of impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.
Overview
3
3
years of professional experience
Work History
Data Scientist
AMAZON
05.2023 - Current
- Solely owned the action propensity service, orchestrating the generation of $5MM in revenue through High Value Actions (HVAs) recommendations and facilitating 844K advertiser HVA adoptions in 2023, underscoring a track record of delivering cutting-edge solutions and impactful results
- Led the expansion of sponsored ads attrition prediction models, elevating model recall by 157bps through effective cross-functional collaboration and performance enhancement initiatives
- Leveraged AWS services including Redshift, Athena, and S3 for data warehousing and storage needs, CloudWatch events along with AWS Lambda as trigger mechanisms for regular maintenance and scoring functionalities
- Designed and developed innovative data-driven solutions using SQL and ETL to generate actionable insights and support informed decision-making by senior management
Business Intelligence Engineer
AMAZON
02.2022 - 05.2023
- Directed metrics reporting and leading weekly business review meetings to support senior management in strategic planning and execution
- Created an extensive dashboard that tracked crucial metrics on a daily basis, equipping senior management with actionable insights to facilitate decision-making and propel business expansion
- Implemented automation solutions for critical metrics, reducing weekly workload from 2-3 days to just one hour, optimizing operational efficiency
Data Engineer
BLUE CROSS BLUE SHIELD NC
05.2021 - 12.2021
- Verified the conformity between multiple datasets with millions of records and 100+ requirements to ensure data integrity and accuracy
- Designed and implemented automated Sandbox set up using Ab Initio, streamlining the data processing pipeline and improving efficiency of data warehousing operations
- Collaborated closely with cross-functional teams to identify data quality issues and implement corrective measures, resulting in improved data accuracy and reliability for analytical purposes
Education
Master of Science - Data Science
University of North Carolina Wilmington
Wilmington, NC12.2021
Bachelor of Science - Finance
North Carolina State University
Raleigh, NC05.2019
Skills
- Machine Learning
- Deep Learning
- Cloud Computing
- MLOps
- Data Engineering
- Data Analysis
- Data Visualization
- Model Evaluation
- Testing
- SAS programming
- Normalization techniques
- Agile methodologies
- Multitasking
- Attention to detail
- Deep learning
- Time series analysis
- Sentiment analysis
- Neural networks
- Natural language processing
- Scikit-learn
- R programming
- Statistical analysis
- SQL databases
Timeline
Data Scientist
AMAZON
05.2023 - Current
Business Intelligence Engineer
AMAZON
02.2022 - 05.2023
Data Engineer
BLUE CROSS BLUE SHIELD NC
05.2021 - 12.2021
Bachelor of Science - Finance
North Carolina State University
Master of Science - Data Science
University of North Carolina Wilmington
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