Ingénieur data & Python · ML & APIs
60076Hybrid1–3 ans 4.5
Purdue University, College of Science West Lafayette, IN Bachelor of Science in Computer Science, Minor in Mathematics May 2029 Coursework: Programming in C, Discrete Mathematics, Problem-Solving and OOP, Linear Algebra, Statistics
Built Python APIs and batch jobs; contributed features to an ML or analytics product. Stack: SQL, scikit-learn or PyTorch, Git, Docker — replace with your employer, metrics, and repo links.
End-to-end mini project: dataset → model or RAG assistant → simple deployment. Highlight one measurable outcome (latency, accuracy, users, or cost saved).
POC or internal tool with Python, SQL, scikit-learn, Git: ML pipeline, RAG assistant, automation, or analytics. GitHub or demo link when possible.
Ganloss recruiters often review projects before reaching out.