Emma Carter
Data Scientist
Profile
Data-driven and results-oriented Data Scientist with 5+ years of experience in machine learning, data engineering, and business analytics. Skilled in Python, SQL, TensorFlow, and Power BI, with a strong background in developing scalable models and visualizations that drive informed decision-making. Passionate about applying AI solutions to solve real-world business challenges and enhance operational efficiency.
Employment History
Senior Data Scientist — Amazon Web Services (AWS)
Seattle • May 2021 — PRESENT- Designed and deployed machine learning models for customer churn prediction with 91% accuracy, helping reduce churn by 18%.
- Automated data processing pipelines using AWS Glue and Lambda, cutting ETL time by 45%.
- Conducted A/B testing and built dashboards in Tableau for executive reporting.
- Collaborated with engineering teams to integrate predictive insights into product features, driving engagement by 22%.
Key Achievements:
- Named “Top Innovator – Data Science” in AWS West Region 2024 Awards.
- Authored internal whitepaper on “Optimizing Model Deployment with MLOps on AWS SageMaker.”
Data Analyst — Netflix Inc.
Los Gatos • Jun 2018 — Apr 2021- Analyzed viewer behavior data to identify patterns, increasing content recommendation accuracy by 25%.
- Built visualization dashboards with Power BI to present KPIs to senior leadership.
- Developed and tested models for predicting viewer churn and content performance.
- Managed SQL databases with 20M+ records, ensuring 99.9% data integrity.
Key Achievements:
- Reduced manual data preparation time by 50% using automated ETL pipelines.
- Contributed to a project that improved Netflix’s personalization algorithm efficiency by 17%.
Education
University of California, Berkeley
Master of Science (M.S.)
Jan 2018 —University of Illinois Urbana-Champaign
Bachelor of Science (B.S.)
Jan 2016 —Projects
Predictive Maintenance System for IoT Devices
- Developed an ML model predicting hardware failures using sensor data streams.
- Deployed using AWS SageMaker, achieving a 96% recall rate.
Customer Sentiment Analysis Dashboard
- Created NLP pipeline analyzing customer reviews using BERT embeddings.
- Built live dashboard in Power BI visualizing sentiment trends across regions.
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