Hanen Ben Salem

Hanen Ben Salem

Student Intern

Followers of Hanen Ben Salem3000 followers
location of Hanen Ben SalemSfax, Tunisia

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  • Timeline

  • About me

    AI Engineer & Data Scientist | Machine Learning & Deep Learning | Big Data & MLOps | Data Modeling & Visualization

  • Education

    • Institut International de Technologie

      2022 - 2025
      Génie informatique Computer Engineering
    • Institut Supérieur d'Informatique et de Multimédia de Sfax

      2019 - 2022
      Licence Computer science

      Data analysis and big data

  • Experience

    • ZNet-IT

      Jul 2021 - Aug 2021
      Student Intern

      Development of a mobile meal delivery application :- Designed attractive user interfaces with Flutter, guaranteeing a 100% responsive experience.- Improved delivery provider selection for a Saudi client’s app, utilizing Git and increasing efficiency by 20%.

    • Digital Research Center of Sfax

      Feb 2022 - May 2022
      Student Intern

      Performance of AI models for hate speech detection in Arabic:- Collected and cleaned two sets of data, one with 6,024 Arabic text samples, demonstrating skill in preparing data.- Analyzed six hate speech detection approaches using Weka and Google Colab, comparing models and achieving accuracies between 72% and 83%.- Improve the best model by adding more methods and standard embeddings to make it work even better.

    • Anavid

      Aug 2022 - Sept 2023

      Responsible for Anavid's project to stop shoplifting in big stores, among other projects:- Organized the daily cycle of data preprocessing, model training, and analysis to provide valuable insights to projects.Supervised data preparation and pre-processing, supported 5 freelancers and increased efficiency by 30% in 3 months.- Optimized and enhanced Python scripts, and bash scripts, leading to a remarkable 95% reduction in processing time.- Conducted technical demonstrations, elevating client satisfaction and project adoption significantly by 20%.- Boosted data protection in Anavid's projects by nearly 86% through advanced obfuscation in Python projects. Show less

      • Data scientist

        Oct 2022 - Sept 2023
      • Summer Internship

        Aug 2022 - Sept 2022
    • BePrimeTech

      Oct 2023 - Dec 2024

      - Researched relevant KPIs to provide valuable insights and analytics to key stakeholders in the travel sector.- Managed a MongoDB database of tourist data and leveraged Power BI to create 11 interactive dashboards for the Project Booking Engine implementation.- Integrated Power BI dashboards into an Angular application, enabling seamless access without Power BI authentication. Work on the BePrimeTravel project focused on the tourism industry:- Developed a user-friendly interface for BePrimeTravel with Angular Material 16, resuting in nearly identical replication of the previous design with a 96% fidelity.- Created a validation system to connect BePrimeTravel to different travel providers.- Ensured all supplier information for mapping, using Dozer and MongoDB for streamlined data management.

      • Data Analyst

        Mar 2024 - Dec 2024
      • Full Stack Java/ Angular

        Oct 2023 - Feb 2024
    • Institut International de Technologie

      Mar 2024 - Jun 2024
      Student Intern

      Facial emotion recognition during a job interview:- Balanced RAF-DB dataset across 7 classes, improving model performance and achieving a balanced training set.- Created a CNN model from scratch achieving 92.53% training accuracy and 80.03% test accuracy by combining SMOTE and data augmentation.- Implemented face detection functionality in a Django application, enabling real-time emotion analysis on uploaded images and videos.- Develop a Docker image that includes the application and its emotion analysis feature for easy deployment and scalability. Show less

    • CognoRise InfoTech

      Apr 2024 - May 2024
      Data Scientist Intern

      - Developed credit card fraud detection model with logistic regression, achieving 99% accuracy.- Implemented XGBoost for Titanic survival prediction, achieving high accuracy and 20% robustness improvement.- Resolved car price prediction using linear regression, with mean absolute error of 1611.12 and R-squared of 0.85.

  • Licenses & Certifications