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Nizar Malkiya

Data Scientist, Software Engineer
3 recommendations
  • Suggested rate
    €650 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Nizar's quote.
Location and workplace preferences
Location
Paris, France
Can work onsite in your office in
  • and around Paris (up to 50km)
  • and around Lille (up to 50km)
  • and around Marseille (up to 50km)
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Skill set
Nizar in a few words
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.
Experience
  • Pfizer PFE
    Data Scientist
    PHARMACEUTICALS INDUSTRY
    October 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.
    Python TensorFlow Streamlit AWS Snowflake Machine learning Time Series Deep Learning Data visualisation SQL Data science Predictive Maintenance
  • leWagon
    Data Science Teacher
    EDUCATION & E-LEARNING
    November 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.
    python pandas scraping SQL Statistiques Machine learning Deep Learning NLP TensorFlow Docker Analyse de données Data visualisation Google cloud Time Series Streamlit
  • University of London
    Data Science Tutor
    EDUCATION & E-LEARNING
    October 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).
    Python Apache Spark Hadoop Machine learning Big Data Data science Data Engineer Statistiques intelligence artificielle
3 recommendations
JB
AF
TG

Julien Brayere and 2 other people have recommended Nizar

Julien BrayereJB
Ve Interactive
7/2/2020
Nizar est passionné par ce qu’il fait et se met corps et âme dans ce qu’il entreprend.
Il est capable de s’approprier des nouvelles technologies et framework en un instant pour satisfaire ce qu’il a en tête.
Ses connaissances à la fois en Machine Learning et développement Big Data en font un atout majeur.
Alex FraseniucAF
Alex Fraseniuc
Roland Berger
1/30/2020
I have had the pleasure of working with Nizar for the past two years at Roland Berger.

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..
Thierry GruberTG
Forklaren
1/30/2020
Nizar is a results-oriented engineer with strong technical and communication skills. He asks the right questions, understand quickly factors that can be leveraged and uses the best available tools to solve problems effectively. It was a great pleasure working with him.
Education
  • Bachelor of Science in “Information and Communication Technologies"
    Università degli Studi di Perugia, Perugia, Italy
    2006
    - 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, Italy
    2009
    - Final Mark: 110/110. - Principal subjects: Digital Communications, Coding, RF Electronics, Computer Science, Real Time Systems, Signal Processing, Networks, Security.
  • Master’s degree in Engineering
    Télécom ParisTech (ENST), Paris, France
    2009
    - Principal subjects: RF and Satellite Communications, Signal Processing, Image processing, Medical Applications.