Recommended expert

Mariem Ayadi

Data Science Intern

Mariem Ayadi
Erfurt, Germany

Experience

Nov 2024 - Dec 2024
2 months

DEVOPS

  • Tools: Maven, Jenkins, Docker, Sonarqube, Nexus and Spring Boot.
  • Implementation and configuration of a CI/CD pipeline for a Spring Boot project.
Oct 2024 - Dec 2024
3 months

Prediction model for house sale prices

  • Tools: R Programming.
  • Performed web scraping to collect data and built a regression model to predict house prices.
Sep 2024 - Dec 2024
4 months

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.
Sep 2024 - Nov 2024
3 months

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.
Jul 2024 - Aug 2024
2 months
Tunisia

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).

Information Technology
Banking and Finance

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).

Information Technology
Business Intelligence
Investments and M&A
Research and Development

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

Arabic
Native
English
Advanced
French
Intermediate
German
Elementary

Education

Oct 2025 - Present

Schmalkalden University of Applied Sciences

Master Exchange in Computer Science · Computer Science · Schmalkalden, Germany

Sep 2020 - Present

Private Higher School of Technologies & Engineering

Engineering in Data Science and Artificial Intelligence · Data Science and Artificial Intelligence · Tunisia

Sep 2019 - Jun 2020

High School Khairedine Becha

Baccalaureate Science · Science · Tunisia

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Mariem based?

Mariem is based in Erfurt, Germany.

What languages does Mariem speak?

Mariem speaks the following languages: Arabic (Native), English (Advanced), French (Intermediate), German (Elementary).

How many years of experience does Mariem have?

Mariem has at least 0 years of experience. During this time, Mariem has worked in at least 1 role and for 5 different companies. The average length of individual experience is 1 month. Note that Mariem may not have shared all experience and actually has more experience.

What roles would Mariem be best suited for?

Based on recent experience, Mariem would be well-suited for roles such as: Data Science Intern.

What companies has Mariem worked for in recent years?

In recent years, Mariem has worked for DEVOPS, Prediction model for house sale prices, Real-Time Stock Price Prediction System, Facial emotion detection and analysis, and APAIA.

Which industries is Mariem most experienced in?

Mariem is most experienced in industries like Information Technology (IT), Banking and Finance, and Real Estate. Mariem also has some experience in Healthcare.

Which business areas is Mariem most experienced in?

Mariem is most experienced in business areas like Information Technology (IT), Research and Development (R&D), and Business Intelligence. Mariem also has some experience in Investments, M&A & Venture Capital and Product Development.

What is Mariem's education?

Mariem holds a Master in Computer Science from Schmalkalden University of Applied Sciences and a Bachelor in Data Science and Artificial Intelligence from Private Higher School of Technologies & Engineering.

What is the availability of Mariem?

The availability of Mariem needs to be confirmed.

What is the rate of Mariem?

Mariem's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Mariem?

To hire Mariem, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

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Market avg: 670-830 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.