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jdidi boujneh Data scientist
Seeking employment
  • Data scientist with a demonstrated history of working in the Information Technology and real estate industries. Skilled in software development, managing data flow, wrangling and scarping data, and creating value from datasets
    in order to deliver dashboards for end-users
  • Profession
  • Computers
    Database / Datawarehouse
  • Industry
  • Engineering
  • Availability
  • Immediate
  • Years of experience
  • 1 to 2 years
  • Education
  • Masters / MBA
  • Type of contract
  • Permanent
  • Working time
  • Full Time 100%
  • Salary
  • To be agreed CHF
  • Travel
  • Flexible
  • Geographical mobility
  • International
Experience
Belo Investment Research • Brazil
  • - Direct contact with clients on features to develop and feed back.
    - Contributing in the developpment of deliverables (Dashboard/reports/features)
    - Quant analysis: Statistical modeling on different types of data for investment decisions (Econometrics, data mining etc..)
    - Data quality review.
    - Identification of data for investment research.
    - Web-intelligence: automation of web data extraction (Python : Selenium/BeautifullSoup).
    - Data consolidation (Python/SQL/SSIS/Excel).
    - Design Tableau dashboard.
    - Survey analysis on consumer sentiment for investment decision.
    - Mapping competition/merger and distance analysis.
    - Monitoring daily/weekly/monthly/quarterly updates on above types of projects.
End of studies project engineering degree
February 2021 - August 2021
Piterion • Tunisia
  • NY Stock movement Prediction using Historical data , tweets , facebook comments and financial News ( LSTM , ARIMA , newsAPI , tweet , BERT , FINBERT , NLP , data scrapping , flask.)
Data science instructor
September 2019 - August 2021
Data Co-Lab • Tunisia
  • Deliver Workshops and tutorials on Python, SQL, probability, statistics, machine learning, and data engineering
Summer internship
July 2020 - September 2020
GRAFICS • Tunisia
  • Machine Learning Applied in Market Finance: Optimization of Asset
    Portfolio and clustering for tunisian Stocks ( COVID-19 )
End of studies project
January 2018 - July 2019
LIMTICS - Laboratoire • Tunisia
  • Knowledge extraction from unstructured text documents: application to statistical data (NLP, Text mining, web scrapping, ANN
Education
Data Science engineering
September 2018 - July 2021
ESPRIT • Tunisia
Master in Actuarial science
September 2019 - June 2021
Le Mans University • France
Computer Science
September 2015 - June 2018
Higher Institute of Computer Science - ISI (Bachelor degree ) • Tunisia
Highlights
  • Scoring Clients - ESPRIT
    Predict customer default of multiple banks through their payment history
    for granting credit :Python ,Advanced Machine Learning ,Dashbording
  • Data Science Project - ESPRIT
    Proposed by - The Tunis General Insurance Committee
    Implementation of an application for the insurance company with three main objectives: fraud detection, automatic score allocation, bad customer prediction : - scraping web, NLP pour les données collectées ,Beautiful
    Soup ,Machine Learning ,Django ,Flask ..
  • Deep Learning Project
    COVID-19 :predict if a person in an image is wearing a mask
    This solution will help in the battle to reduce community transmission of
    COVID-19. : Face recognition , CNN , Transfer Learning .
Skills
  • Power BI , MS SSAS ,SSIS , SSRS , Observable , Tableau
    Good
  • : PLSQL ,MySQL ,NoSQL ,MongoDB ,Oracle ,Hadoop ,Hive ,Sqoop ,Spark ,PySpark ,Scala ,ElasticSearch ,Kibana
    Good
  • Probability, Machine Learning
    (Numpy, Pandas, Scipy, Scikit-learn, Keras ..), Deep Learning, Statistical analysis, NLP / Text mining, Time series analysis, Python, R, data visualization (Power BI, Dash, Plotly, Seaborn, Flask ..) web scraping, Principal component analysis (PCA, ACM..)
    Expert
Languages
  • English
    Advanced
  • French
    Advanced
  • Arabe
    Expert