Massinissa Saidi

Teaching python for data science and the methodology needed to successfully complete a project. Good practices to have clear, maintainable and reproductive code.

Python: numpy, pandas, matplotlib, scikit-learn and good practices with pep8

Tools: virtual environment with conda, docker, git, gitlab

Data Scientist in charge of Prixtel's AI projects.

Implementation and follow-up of AI-related projects.

- churn prediction 🎯: ML classifier in cloud environment with MlFLow and AWS

- anti fraud detection 🛑

- ia chatbot 🤖: Voice Assistant and Text-based assistant with workflow built with LlamaIndex (STT, RAG, LLM, TTS) to improve customer service experience

Backend developper:

- implementation of multiples APIs and scripts

- in charge of FTTX project for SFR's MVNOs

Data science consultant on applied and research projects focused on Machine Learning.

- Air safety organization 🛫: Prediction of separation distance between aircraft before (and after) landing to improve air and runway traffic. Construction of a database gathering data from different sources and implementation of ML models taking into account business safety rules.

Research paper: https://iopscience.iop.org/article/10.1088/1742-6596/2526/1/012108

- 𝗕𝗶𝗼𝘁𝗲𝗰𝗵 🧪: Prediction of the relative abundance of bacteria in a sample using an ML model. Creation of a web app making the ML model available to laboratory technicians and physicians.

- 𝗧𝗲𝗹𝗹𝘂𝘀 📞: Customer segmentation for a telephone top-up provider to create personas using clustering methods.

- 𝗥&𝗗 🔬: Detection of lymphoma, relapse and Ann Arbor stage in histopathological images using Deep Learning. Combination of two CNNs for global and local image processing.

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