- Pfizer PFEData ScientistPHARMACEUTICALS INDUSTRYOctober 2021 - December 2022 (1 year and 3 months)
- 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-LEARNINGNovember 2020 - Today (3 years and 12 months)
- 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-LEARNINGOctober 2020 - Today (4 years and 1 month)City of London, United Kingdom
- 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).
Julien Brayere and 2 other people have recommended Nizar
Nizar excels in data science (NLP, ML) by providing both quick solutions for deadline situations and more in-depth solutions, which undoubtedly highlights his meticulous nature(does his due dilligence to keep up with new frameworks, ML algorithms, etc.).
Nizar also goes above and beyond by leveraging his software engineer skills to give even more value to the results of his data science projects:
- Either by building websites/APIs which give more usability to his algorithms allowing them to be used in future projects or to solve different problems not included in the original usecase.
- Investing time into data pipelines and data visualization tools/applications.
- A healthy coding habbit which includes TDD, proper project organization, modelling and use of versioning tools which ultimately leads to good overall projects.
- A keen eye for identifying, isolating and fixing bugs.
Apart from being a great software engineer and data scientist, he is also great at offering usefull insights for projects he is not directly part of from the beginning. He does this by providing an outside perspective and contributing with fresh ideas and challenging questions which help move the project forward and further improve the final outcome..
- 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.
- Master’s degree in EngineeringTélécom ParisTech (ENST), Paris, France2009- Principal subjects: RF and Satellite Communications, Signal Processing, Image processing, Medical Applications.