Position: Middle Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 3

- Designing and conducting original analysis on topics such as the assessment of whether a physician’s stated specialty is indicative of their practice patterns.
- Developing an algorithm to detect stages of cancer therapy 
- Designing and implementing a machine learning semi-supervised model to predict the specialty of a doctor
- Writing software to fully automated Extract, Transfer, Load (ETL) processes from three possible data storage systems into a customized Google Big Query relational database
- Analyzing US healthcare data in medical conditions ranging from acne to cancer.
- Developing data visualizations including the development of automated processes such as Tableau Prep
- Gathering and implementing requirements for custom solutions for clients such as a Machine Learning system that predicts patient movement via referrals
- Handle large scale datasets
- Using and optimizing advanced analytics such as Propensity Score Matching, custom predictive modeling, Cosine Similarity Analysis, Principal Component Analysis, Patient Longitudinal Analysis, and Health and Economics Outcomes research.
- Implementing solutions for Cloud Platforms
Challenging projects that will require to learn new tools and techniques in the field of healthcare.