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.
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.
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Jul 2023 Onboarding
Data Scientist internship started
Started the Klesia internship in the Data Science department.
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Jul 2023 Research / Discovery
SAS and DSN data access
Learned SAS and queried Klesia databases to understand and extract DSN-related data.
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Aug 2023 ~ Implementation
Dataset built from scratch
Built datasets from raw enterprise data using SAS Enterprise Guide and Python.
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Oct 2023 ~ Implementation
PyTorch model on Azure ML
Created neural-network experiments with PyTorch to detect DSN anomalies on Azure ML.
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Dec 2023 Delivery
Internship completed
Completed the 6-month data-science internship.
Stack
- SAS Enterprise Guide
- Python
- PyTorch
- Azure ML
- Data cleaning
- Feature engineering
- Machine learning