Asmaa Mountassir

Co-Founder, Consultant & Trainer at Dakae Tech
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Contact Information
us****@****om
(386) 825-5501
Location
Casablanca-Settat, Morocco, MA
Languages
  • Arabic Native or bilingual proficiency
  • French Native or bilingual proficiency
  • English Professional working proficiency

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Azzedine EL FEZZAZI

Asmaa est dotée d un excellent esprit d analyse, curieuse, très ordonnée et peut s adapter a différents environnements de travail. Très autonome dans ce qu’elle entreprend comme travail avec un bon niveau de reporting. Je garde un excellent souvenir de notre collaboration, beaucoup de respect et d admiration pour la personnalité d asmaa et ces qualités humaines. J espère que nos chemins pro se croiseront un jour.

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Credentials

  • Big Data Modeling and Management Systems
    Coursera
    Jul, 2018
    - Oct, 2024
  • Introduction to Big Data
    Coursera
    May, 2018
    - Oct, 2024

Experience

  • Dakae Tech
    • Software Development
    • 1 - 100 Employee
    • Co-Founder, Consultant & Trainer
      • Apr 2019 - Present

      Consultancy and Training in Artificial Intelligence and Data Science Consultancy and Training in Artificial Intelligence and Data Science

  • Odetta, Inc.
    • United States
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Data Scientist
      • Aug 2019 - Present

      Data AnalysisData CleaningMachine Learning Data AnalysisData CleaningMachine Learning

  • CREDIT DU MAROC
    • Banking
    • 700 & Above Employee
    • Business Intelligence Consultant
      • Oct 2018 - Aug 2019

      • Analyze client requirements • Database querying • Design/Develop ETL • Design/Develop Dashboards • Data Quality • Update existing ETL • SAP Data Services, BO, Oracle • Analyze client requirements • Database querying • Design/Develop ETL • Design/Develop Dashboards • Data Quality • Update existing ETL • SAP Data Services, BO, Oracle

  • FLY France
    • France
    • Retail
    • 1 - 100 Employee
    • Data Scientist
      • Feb 2016 - Jun 2018

      A- BI project : Information System Performance • Define axes of IS performance (Project Management, Budget Management, HR Management, Client Support) • Define the different KPIs • Define data sources and build a centralized data warehouse • Build the different dashboards using Tableau softwareB- Correction of customer postal addresses project : • Develop a novel method based on text mining techniques to deduplicate customer addresses and identify purchases made by the same customers. • Automate the correction of postal addresses by the use of Google API. • Use supervised machine learning techniques (Naïve Bayes, Decision Trees and SVM) to make decisions about the output addresses. • Tools : Rstudio, R Language, SQL, DB2C- Customer Segmentation Project : • Explore the available data related to customers and their purchase behavior and their payment method. • Define fifty features to build customer profiles • Apply RFM analysis (Recency/Frequency/Monetary value) to assign each customer to a segment. • Use unsupervised machine learning technique (k-means) to conduct a dynamic segmentation and analyze each cluster • Reporting using Tableau software : design plots to view characteristics of each customer segment • Tools : Rstudio, R Language, DB2, QlikView, Tableau D- Market Basket Analysis Project : • Import customer purchase data and apply Apriori algorithm on different levels to identify association rules. Goal : identify items that are purchased together to help marketing managers to design promotion packs and to enhance item location in stores and on the website. • Analyze rules on different levels : Range, Family, sub Family and model. • Tools : Rstudio, R Language, SQL, DB2

  • Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
    • Morocco
    • Higher Education
    • 1 - 100 Employee
    • Part-Time Lecturer
      • Jan 2015 - Jun 2017

      • Data Mining module (SPSS Modeler) : CRISP-DM, Supervised and Unsupervised machine learning techniques, Association Rules. • Data Analysis module (SPSS Statistics and R Language) : Descriptive and Predictive Analysis, Feature engineering, Correlation, Linear Modeling, Regression, Principal Component Analysis. • Data Mining module (SPSS Modeler) : CRISP-DM, Supervised and Unsupervised machine learning techniques, Association Rules. • Data Analysis module (SPSS Statistics and R Language) : Descriptive and Predictive Analysis, Feature engineering, Correlation, Linear Modeling, Regression, Principal Component Analysis.

  • Office de Formation Professionnelle et de la Promotion du Travail (OFPPT)
    • Morocco
    • Education Administration Programs
    • 700 & Above Employee
    • IT Trainer
      • Oct 2008 - Dec 2011

      Teach software programming modules for specialized technicians and supervise internships Teach software programming modules for specialized technicians and supervise internships

  • SOFADEVE SERVICES LTD
    • Full-stack Software Engineer
      • Oct 2005 - Oct 2008

      • Analyze functional specifications / Java programming • Use an in-house system for workflow management (Phenix) to implement solutions (Java, BeanShell, OpenLDAP, SQL Server) • Testing in-house software • Client support for European clients (Experian and banks) • Consulting for Moroccan Clients (CNSS, M’dina Bus) • Technical documentation for knowledge management purpose / Train new recruits • Analyze functional specifications / Java programming • Use an in-house system for workflow management (Phenix) to implement solutions (Java, BeanShell, OpenLDAP, SQL Server) • Testing in-house software • Client support for European clients (Experian and banks) • Consulting for Moroccan Clients (CNSS, M’dina Bus) • Technical documentation for knowledge management purpose / Train new recruits

Education

  • Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
    Doctor of Philosophy (PhD), Computer Science
    2011 - 2016
  • Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
    Engineer, Computer Science
    2002 - 2005

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