Data Scientist
Summary
I am a problem-solver and analytical thinker with over 7 years of data science experience. I earned my PhD from Caltech in a highly quantitative field, where I then transitioned into the biotech/healthcare sector as I became passionate about using my technical and leadership skills to tackle issues related to human health and improving the patient experience. I have solid industry data science experience, being a core member of a real world data modelling team at a cutting-edge health AI startup, where I developed machine learning models to predict cancer risk from electronic medical record (EHR and health insurance claims) data. I am also an excellent communicator and have routinely presented complex technical concepts to both technical and non-technical stakeholders. I am excited to explore new opportunities where I can continue to leverage my skills to help deliver positive outcomes for patients.
Expectations
I am looking to build on my extensive experience in data science to progress to more senior roles where I can contribute both my technical and leadership skills to help lead the management of projects and increase cross-functional team collaboration. I hope to continue to leverage my skills to drive positive outcomes for patients.
Employment Preferences
Relocation destinations:
- California, United States
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Skills
- Python
- NumPy
- SciPy
- Matplotlib
- Seaborn
- Pandas
- PySpark
- SQL
- Google BiqQuery
- Google Cloud Platform
- Unix
- Linux Shell Scripting
- GitHub
- Gitlab
- Databricks
- HTML
- LaTeX
- Statistical Methods
- Significance Tests
- Regression Models
- Monte Carlo
- Bootstrap
- Time-Series Analysis
- Machine Learning
- Scikit-learn
- XGBoost
- TensorFlow
- Big Data Mining
- Distributed Systems
- Project Management
- Atlassian Tools
- Jira
- Confluence
- Agile Frameworks
- Scrum
- MS Office
- G Suite
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