• Home
  • About Me
    • Nidhal Satouri photo

      Nidhal Satouri

      An energetic self-learner who loves to code and tackle data-driven problems

    • Resume
    • Email
    • Twitter
    • Facebook
    • LinkedIn
    • Github

Resume

Nidhal Satouri photo

NIDHAL SATOURI


DATA SCIENTIST | SOFTWARE ENGINEER | FULBRIGHT ALUMNUS


 satouri.nidhal@gmail.com

INTRODUCTION

I am a multi-skilled Data Scientist who couples business sense and ingenuity. I hold a masters in Data Analytics and I am passionate about turning Data into products, valuable insights, and meaningful stories. Learning new Machine Learning techniques and grasping the industry best practices are always fun to me. Currently, I am leveraging Predictive Analytics and Big Data technologies to improve the IoT products/services at Auxivia (HealthTech Startup).

Here's a non exhaustive list of my technical skills :

   SKILLS

  • METHODS & CONCEPTS
    • Data Scraping/Cleansing, Predictive Analytics, Time Series Analysis, Clustering, Dimensionality Reduction, Hypothesis Testing, Association Rules
    • Design Patterns, Continuous Integration, SCRUM
  • SOFTWARE TECHNOLOGIES
    • Data Science: Python, SQL, R, SAS-EMiner
    • Data Exploration/Visualization: Jupyter, MS Excel, Tableau, D3.js, Superset
    • Big Data: Kafka, Cassandra, Hadoop (MapReduce), Spark, Impala, Hive, AWS, Talend (DI/ESB)
    • Misc: Java, Shell Script, iOS, PHP(Laravel), Javascript, Git

   WORK EXPERIENCE

  • AUXIVIA Apr 2017 – Present
    Data Scientist
    Paris, France
    • Preprocessing and analyzing IoT/Motion Data (Python, SQL, Shell Scripting)
    • Building and optimizing Machine Learning models (Time Series, Classification, Clustering, Anomaly Detection)
    • Setting up and maintaining Big Data processing/storage infrastructure (Kafka, Cassandra, Ansible)
    • Anonymizing health data and complying with CNIL/RGPD regulations
    • Visualizing and communicating practical insights (Jupyter, D3.js, Superset, MS Excel)
  • BULLDOZER Inc Feb 2015 – May 2015
    Web Developer (Intern)
    Tunis, Tunisia
    • Implemented the backend of a professional social network dedicated to the fashion industry
    • Architected and built a RESTful API that will be consumed by back-office and mobile applications
    • Learned and practiced the SCRUM agile method
  • ORANGE Jul 2014 – Aug 2014
    Mobile Developer (Intern)
    Tunis, Tunisia
    • Performed a market research on photo editing and sharing mobile apps
    • Led the development of a social all-in-one iOS app offering advanced features like Voice Recognition, Face Detection, and Photo Editing
    • Contributed to the launching campaign by building the landing page, and helped in shooting a promotional video
  • FLAG ENGINEERING Jun 2013 – Aug 2013
    Mobile Developer (Intern)
    Djerba, Tunisia
    • Built an m-commerce iOS app for a retail client providing the main following functionalities: products catalogue, user account setting, cart management, and payment
    • Created a set of PHP/MySQL web services

   EDUCATION

  • Bowling Green State University (BGSU) Aug 2015 – Aug 2016
    Bowling Green, OH - USA
    Master of Science, Analytics [GPA: 4/4]
    Scholarship: Fulbright Foreign Student Program

  • National Institute of Applied Science and Technology (INSAT) Sep 2010 – Jun 2015
    Tunis, Tunisia
    National Engineering Diploma, Software Engineering [GPA: 3.65/4]
    Minor: Management of Information Systems

   RELEVANT PROJECTS

  • Capstone Research Project – BGSU Sep 2015 – Apr 2016
    • Led exploratory data analysis on 2 Parkinson’s tele-monitoring (dysphonia) datasets using R
    • Implemented and optimized predictive models like Logistic Regression, Decision Tree, Gradient Boosting and Neural Networks to simplify Parkinson’s diagnosis using SAS-EMiner
    • Evaluated the models’ performance and compiled the analysis results in a research paper
  • Big Data Project – BGSU Mar 2016 – Apr 2016
    • Cleansed 40 years worth of data (15 billion observations) from the US National Climatic Data Center on Cloudera CDH 5.5
    • Automated the data retrieval, consolidation and loading into Hive Metastore and HDFS (Hadoop) using a shell script
    • Coded SQL queries in Impala and built Linear Regression and Time Series models in Python using the following libraries: numpy, pandas, scipy, matplotlib, statsmodel, impyla
  • Data Mining Project – BGSU Mar 2016 – Apr 2016
    • Cleaned and transformed 10 years of road accidents’ data from the Transportation Safety Board of Nebraska using SAS-EMiner and Excel
    • Run statistical analysis, predicted the probability of an accident given the city section characteristics and generated Association Rules about co-occurring factors leading to accidents
    • Visualized the insights in Tableau and delivered recommendations for a better safety plan

   PROFESSIONAL DEVELOPMENT

  • Data Science Summer School - Polytechnic School, Paris-Saclay [Conference] Aug 2017
  • Python for Data Science – DataCamp [MOOC] Aug 2016
  • Big Data on Amazon Web Service Quest – QwikLabs [MOOC] Mar 2016
  • SAS Analytics 2015 - Las Vegas, USA [Conference] Oct 2015
  • Microsoft Technology Associate: Database Administration Fundamentals - Microsoft [Certification] Jun 2011

   VOLUNTEER EXPERIENCE

  • Netlinks CluB - INSAT Jan 2012 – Sep 2014
    Technical team member
    Tunis, Tunisia
    • Led iOS development trainings and projects
    • Participated in organizing national technology events (NetlinksDay 2012,2013 and 2014)
  • Tunisian Red Crescent Sep 2012 – Feb 2015
    Volunteer and First-Aider
    Ariana, Tunisia
    • Helped in collecting donations for deprived families
    • Participated in road safety campaigns

   LANGUAGES

English(Fluent), French(Fluent), Arabic(Native), German(Basic)

   INTERESTS

Coding & Data Science challenges, Graphic Design, Soccer, Basketball, Hiking