Mariem Ayadi
Data Science Intern
Experience
DEVOPS
- Tools: Maven, Jenkins, Docker, Sonarqube, Nexus and Spring Boot.
- Implementation and configuration of a CI/CD pipeline for a Spring Boot project.
Prediction model for house sale prices
- Tools: R Programming.
- Performed web scraping to collect data and built a regression model to predict house prices.
Real-Time Stock Price Prediction System
- Tools: LSTM, Python, TensorFlow.
- Forecasted real-time stock prices using LSTM.
- Streamed data with Kafka and stored in MongoDB for visualization.
Facial emotion detection and analysis
- Tools: VGG16, VGG19, ResNet, Python and TensorFlow.
- Built and trained CNN models on the FER-2013 dataset to detect 7 emotions.
Data Science Intern
APAIA
- Design and development of a web platform and mobile application for summarizing medical appointments between doctors and patients.
- Implemented an AI assistant capable of understanding the medical protocol based on the patient’s questions.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Information Technology (0.5 years) and Banking and Finance (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (0.5 years), Business Intelligence (0.5 years), Investments and M&A (0.5 years), and Research and Development (0.5 years).
Summary
Motivated Data Science and AI Engineering student in a master’s exchange in Germany, seeking a 6-month final-year internship. Skilled in data analysis, machine learning, and AI, with experience in forecasting, facial recognition, and data visualization using Python and TensorFlow. Familiar with MLOps and DevOps practices, including model deployment, automation, and monitoring using tools like Docker, Git, and CI/CD pipelines.
Skills
- Programming Languages: Python, R, Sql.
- Data Analysis Tools: Pandas, Numpy, Scikit-learn.
- Data Visualization: Tableau, Power Bi, Matplotlib, Seaborn.
- Machine Learning: Supervised And Unsupervised Learning Techniques, Model Evaluation, And Optimization.
- Statistics And Mathematics: Probability, Linear Algebra, And Statistical Analysis.
- Big Data Tools: Hadoop, Spark.
- Database Management: Experience With Relational (Mysql, Postgresql) And Non-relational Databases (Mongodb).
- Data Engineering Concepts: Etl Processes, Data Cleaning, And Pipeline Automation.
- Cloud Computing: Familiarity With Aws.
- Version Control: Proficiency In Git And Collaborative Coding Practices.
Languages
Education
Schmalkalden University of Applied Sciences
Master Exchange in Computer Science · Computer Science · Schmalkalden, Germany
Private Higher School of Technologies & Engineering
Engineering in Data Science and Artificial Intelligence · Data Science and Artificial Intelligence · Tunisia
High School Khairedine Becha
Baccalaureate Science · Science · Tunisia
Profile
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