Internship
Data Scientist @ Klesia
Worked with the data science department on a research-oriented machine learning project for detecting company insurance payment anomalies in DSN data and improving an existing non-ML anomaly detection approach.
- 6
- months
- 7
- technologies
- 1
- project shipped
What I did
- Learned and used SAS Enterprise Guide to understand and query Klesia databases.
- Created datasets from raw, uncleaned internal data using SAS Enterprise Guide and Python.
- Designed feature engineering and embedding approaches for company-level anomaly detection.
- Built a PyTorch neural network trained and evaluated through Azure ML to detect DSN anomalies.
How it unfolded
Data-science internship from SAS data extraction to PyTorch/Azure ML anomaly-detection experiments.
Jul 2023Onboarding
Data Scientist internship started
Started the Klesia internship in the Data Science department.
Jul 2023Research / Discovery
SAS and DSN data access
Learned SAS and queried Klesia databases to understand and extract DSN-related data.
Aug 2023Implementation
Dataset built from scratch
Built datasets from raw enterprise data using SAS Enterprise Guide and Python.
Oct 2023Implementation
PyTorch model on Azure ML
Created neural-network experiments with PyTorch to detect DSN anomalies on Azure ML.
Dec 2023Delivery
Internship completed
Completed the 6-month data-science internship.
Stack
- SAS Enterprise Guide
- Python
- PyTorch
- Azure ML
- Data cleaning
- Feature engineering
- Machine learning