About Steve Biko
French
Native or bilingual
English
Fluent
Experience
- Hôpital Marie-Lannelongue Le Plessis-RobinsonSupport TechnicianHEALTH AND WELLNESSApril 2026 - Today (4 months)Paris, FranceDeployment and mastering of hundreds of PCs and Panel PCs as part of the site migration. Setup and configuration of workstations (installation of drivers and business software). Assistance in setting up the network infrastructure of the new site. Management and maintenance of the IT park (inventory, monitoring, incident resolution). Transfer and migration of data between departments during the move.Development project for a text-based emotion prediction model. Project for classifying emotions from poetic texts. Collection and preparation of textual data via scraping, cleaning, and structuring in an SQL database. Vectorization of texts and emotions, then design of an NLP classification pipeline. Training and evaluation of an emotion prediction model (performance ≥ 50%) on unstructured and subjective data. Analysis of results and methodological iterations to improve the model's consistency and robustness.
- ndhData analystMarch 2026 - April 2026 (1 month)Paris, FranceAs an assistant data analyst for Pierre Bercy at NDH, I extracted and transformed data from surveys and political reviews, as well as their databases, to establish quality KPIs for decision-making. I also assisted in training aging staff on new technological solutions and workflow automation.
- Poeticmind ParisData engineerARTS AND CRAFTSOctober 2025 - November 2025 (1 month)PoeticMind is a data science project applied to natural language processing (NLP), aiming to analyze and predict emotions expressed in poetic texts.The objective was to transform subjective and unstructured textual data into actionable insights using machine learning techniques.Data collection: scraping of poetic texts from various sources.Data cleaning & structuring: cleaning, normalization, and storage in an SQL database.Feature engineering: text vectorization (TF-IDF / embeddings).Design of a complete NLP pipeline.Modeling: training of classification models (Scikit-learn / TensorFlow).Evaluation: performance measurement (>50% on complex subjective data).Optimization: iterations on models to improve consistency and robustness.
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Education
- Machine Learning with Python (V2)Coursera enligne2026Machine Learning with Python (V2)
- Bachelor 3Éstiam2026Bachelor 3