Data Science Machine Learning
Resume:
FATEN CHTIOUI
Seeking an Opportunity as an AI and Data Science Engineer
Contact Information:
Rue Hasseb Béni Hassen, Monastir, Tunisia
***************@*****.***
LinkedIn: Faten Chtioui
Profile:
Engineer specialized in Artificial Intelligence and Data Science, with strong academic training and practical experience in developing and implementing AI-based solutions and data analysis. Passionate about technological innovation and driven by the desire to contribute to innovative projects that have a positive impact.
Professional Experience:
AI and Data Science Engineer
Leoni, Sousse
February 2024 - May 2024
• Developed a web-based data entry tool using Laravel and Xampp.
• Data exploration and preprocessing for resource planning.
• Selection and comparison of time series forecasting models (AR, ARIMA, HWES, Prophet, Gradient Boosting, MLP, DNN, CNN, LSTM).
• Built an interactive machine learning simulation tool using Streamlit and Power BI. Software Engineer
ICAR, Sousse
June 2024 - July 2024
• Developed a website for product management using Laravel and Xampp.
• Created business data visualization reports using Power BI. AI and Data Science Engineer
Faculty of Medicine, Monastir
March 2024 - May 2024
• Utilized machine learning algorithms (ANN, KNN, Decision Trees) for disease classification and prediction.
• Built a Flask interface for visualizing machine learning model results. Research Assistant
ISG Lab, Sousse
February 2021 - March 2023
• Analyzed business processes using BPM, Signavio, and the Rugle Association Model.
• Developed visualization interfaces using Django and PostgreSQL. Senior Software Technician
Elamana Training School, Sousse
February 2019 - May 2019
• Developed a web-based customer relationship management system using Laravel and Wampp.
Skills:
• Artificial Intelligence: Machine Learning, Deep Learning
• Data Science: Data Processing, Data Analysis, Data Visualization
• Frameworks: TensorFlow, Keras, Scikit-learn
• Big Data: Hadoop, Spark
• Web Development: Laravel, Django
• Security: Blockchain
• Databases: SQL, PL/SQL, Oracle
• Development Tools: Git, Docker
• Methodologies: Scrum, Agile, CRISP
• Programming Languages: PHP, Java, Python
• Reporting Tools: Power BI
Languages:
• French: Intermediate
• English: Intermediate
Interests:
Art, Music, Reading, Cooking, Cinema
Certifications:
• Create Charts and Dashboards Using Microsoft Excel Coursera Project Network
Issued: July 2024
ID: 5JLBH2TE7XKK
• Exploratory Data Analysis with Seaborn
Coursera Project Network
Issued: July 2024
ID: KC4VK794H3T3
• Introduction to Data Analysis using Microsoft Excel Coursera Project Network
Issued: July 2024
ID: 5EFYGS2D7JXW
• Building Custom Regional Reports with Google Analytics Coursera Project Network
Issued: June 2024
ID: FMCDQYEBAA4D
• Business Analysis & Process Management
Coursera Project Network
Issued: June 2024
ID: 6HGD4GYQXL6Z
• Profit Analysis using Economic Value Added
Coursera Project Network
Issued: April 2024
ID: 9SHQEQTB39WE
• ESB: Entrepreneurship and Small Business v.2
Certiport - A Pearson VUE Business
Issued: January 2024
• Build your first Machine Learning Pipeline using Dataiku Coursera Project Network
Issued: December 2023
ID: GGF7CLYME2FZ
• Data Visualization using Plotly
Coursera
Issued: December 2023
ID: RGRWMY2NRWMK
• Deep Learning with PyTorch: Generative Adversarial Networks Coursera
Issued: December 2023
ID: 2FFF3P4C8GNU
• Transfer Learning for NLP with TensorFlow Hub
Coursera
Issued: December 2023
ID: XY53FXDK2ZU6
• What is Data Science?
IBM
Issued: December 2023
ID: WK7QW9NAAEP2
• Oracle Cloud Infrastructure 2023 AI Certified Foundations Associate Oracle
Issued: November 2023
Expires: November 2025
Education:
Computer Engineering: AI and Data Science
EPI-Sousse 2022-2024
Master of Research in Computer Science: SPI
ISSAT-Sousse 2019-2023
Bachelor of Computer Science
ISSAT-Sousse 2016-2019
Academic Projects:
• Data modeling and analysis of banking data using Power BI and creation of reports.
• Built an image classification model using PySpark MLIB.
• Analyzed COVID-19 data with Python (Pandas, Numpy, Matplotlib).
• Developed an NLP application (chatbots).
• Facial emotion recognition with CNN.
• Developed an application using Flutter and Firebase.
• Time series analysis with RNN, ARIMA, and LSTM.
• COVID-19 forecasting using machine learning techniques.
• Developed real-time data stream processing applications.
• Developed various applications with PHP, VB.Net, J2EE, WordPress, and Java.
• Created interactive reports and dashboards using Power BI.
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