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