
AI Workflows for Recruiting
Six connected n8n workflows that automate an AI-powered recruiting pipeline, from inbound application intake through candidate-job matching with AI fit scoring.

Hi, I'm
I turn
Business Analyst with 18+ years of experience in legal, operations, and tech. I help businesses perform better by optimizing workflows and turning messy data into something AI can actually use. Now wrapping up Masterschool’s AI Data Science program with a hands-on internship for real-world work.
A selection of my recent work

Six connected n8n workflows that automate an AI-powered recruiting pipeline, from inbound application intake through candidate-job matching with AI fit scoring.

End-to-end regression pipeline predicting car prices, comparing manual ML workflows against PyCaret’s automated comparison and interpreting results with SHAP and LIME.

Binary classification pipeline that distinguishes real disaster tweets from casual ones, using TF-IDF features and machine learning baselines on a Kaggle dataset of 7,613 labelled tweets.

Multi-class image classification pipeline that uses transfer learning with ResNet50 to classify 32×32 RGB images from the CIFAR-10 dataset into ten everyday categories, reaching 40.2% test accuracy through a two-phase training approach.
Tools I work with day to day
Germany
Independent / Remote
Big 5 South African law firm, Cape Town
Masterschool
University of South Africa (UNISA)
Let’s build something amazing together
I'm always interested in hearing about new projects and opportunities. Whether you're looking to hire, collaborate, or just want to say hi, feel free to reach out!