À propos de Nizar
I'm a Data Scientist, Software Engineer, with 10 years of experience in the research, design, and implementations of Data Processing platforms.
I am passionate about the challenge of crafting quality software able to transform big amounts of data in useful, and understandable insights, and I enjoy all the different phases of this quest, from data collection, to data visualization, going through data modeling, system architecture, algorithms design, and software deployment.
Anglais
Capacité professionnelle complète
Italien
Bilingue ou natif
Arabe
Bilingue ou natif
Espagnol
Notions
Français
Bilingue ou natif
Portugais
Notions
Japonais
Notions
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Pfizer PFEData ScientistINDUSTRIE PHARMACEUTIQUEoctobre 2021 - décembre 2022 (1 an et 3 mois)
- Developed a time-series-based machine learning model for predictive maintenance of industrial equipment using Python and TensorFlow for a COVID-19 project from a global pharmaceutical company.
- Built several web apps to analyze and visualize the available sensor data with Python and Streamlit.
- Created preprocessing routines to collect, clean, and prepare the raw data using Python.
- leWagonData Science TeacherEDUCATION & E-LEARNINGnovembre 2020 - Aujourd'hui (5 ans et 7 mois)
- Presented lectures on statistics, Python, machine learning, and deep learning.
- Supported students during their daily exercises throughout boot camp sessions.
- Guided students during their two-week final projects, from inception to deployment of a machine learning model (NLP, Recommendation Systems, Time Series predictions, Generative models, Computer Vision...).
- Participated in the training of more than 400 students, and mentored more than 50 final projects.
- University of LondonData Science TutorEDUCATION & E-LEARNINGoctobre 2020 - Aujourd'hui (5 ans et 8 mois)City of London, Royaume-Uni
- Provided online support to students of several modules of the Data Science MSc ( Big Data Analysis, Statistics and Statistical Data Mining, Artificial Intelligence).
- Participated in webinars to answer questions of students of several modules of the Data Science MSc ( Big Data Analysis, Statistics and Statistical Data Mining, Artificial Intelligence).
- Graded coursework and exams for several modules of the Data Science MSc ( Big Data Analysis, Statistics and Statistical Data Mining, Artificial Intelligence).
Recommandations
AU
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Formations
- Bachelor of Science in “Information and Communication Technologies"Università degli Studi di Perugia, Perugia, Italy2006- Final Mark: 108/110 - Principal subjects: Mathematics, Physics, Computer Science, Electronics, Communications, Signal Processing, Automatics, Networks, Databases, Robotics.
- Master of Science in “Information and Communication Technologies”Politecnico di Torino, Turin, Italy2009- Final Mark: 110/110. - Principal subjects: Digital Communications, Coding, RF Electronics, Computer Science, Real Time Systems, Signal Processing, Networks, Security.