Vincent Malara

12 days per session. Data Analysis : Numpy, Pandas ML Unsupervised : Dimensionality Reduction, Clustering, Hierarchical Clustering, Association learning, anomaly detection ML Supervised: Customer Churn NLP: Topic Modelling, Sentiment Analysis, Word Embedding, SpaCy

Analyse de performance E-commerce - Developpement d'un package python dédié - Calculs de nombreux kpis e-commerce - Présentation des résultats et recommandations Connaissance client - Segmentation - Enrichissement Socio Demo - Comportement d'achat - Prédiction de LTV Dashboarding - Data Engineering - Cloud (GCP) - Dashboard (Dash plotly / looker studio)

Skills: Anomaly Detection · Data Science

Neossys creates and enrich the most reliable & consolidated B2B companies database. Web scraping - Several bots built to crawl company registers on a daily basis - PDF parsers NLP - Keyword suggestion model to support user experience - Company industry prediction Machine Learning - Company revenue prediction

Turbo charger modelling: • Performance Map Correction: Turbine and compressor map correction considering heat transfer and bearing friction to improve performance prediction accuracy • T/C Thermal model development: compressor and turbine outlet temperature and housing temperature prediction on RDE simulation Turbocharger matching: • Diesel and Gasoline turbocharger Matching (>100 TC Matching) • Including several 2-stage systems • Several methods: Calculation, 0D and 1D simulation Engine modelling for RDE simulation: • Development of complete simulation chain for several Diesel and Gasoline project including MVEM engine, control, vehicle, driver model and EAT (GT Power / Amesim) • Co simulation: Simulink – GT Power – Axisuite Engine modelling 1D: • Diesel and gasoline engine model (GT Power) • FRM model conversion • Boosting technology assessment Softwares: GT Power – Matlab/Simulink - Amesim