Curriculum Vitae
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📧 Contact Me
📌 Career Objective
Proficient in model development and predictive analysis with an extensive background in computer science, machine learning, and data science. Highly skilled in programming, problem-solving, and critical thinking. Excellent collaborator with strong communication and teamwork abilities. Experienced in managing projects, adapting to new challenges, and continuously learning to stay abreast of industry advancements. Adept at both independent work and contributing effectively to multidisciplinary teams. 🧠💡
💻 Professional Experiences
Esprit Tech RDI Ariana, Tunisia (Remote)
Data Scienctist Intern June.2023-August.2023
- Developed a model for predicting Ethereum prices, using HMM, LSTM, and Deep Reinforcement Learning techniques.
- Applied algorithms, including the Backward Forward algorithm, the Baum-Welsh algorithm, and the Viterbi algorithm, to improve prediction accuracy.
- Discovered that the Deep Reinforcement Learning model had a higher Mean Absolute Percentage Error (MAPE) compared to LSTM and HMM models.
- Refined the model to address these challenges, gaining valuable insights into the complexities of financial forecasting.
Anypli Monastir, Tunisia
Full Stack Developer Intern June.2022-August.2022
- Conducted comprehensive analysis of client requirements and user needs to ensure a thorough understanding of the project scope and objectives.
- Leveraged my expertise in PHP and MySQL to architect a reliable and efficient backend infrastructure for the survey web application.
- Utilized jQuery and relevant libraries to design and develop an intuitive and visually appealing frontend interface, enabling a seamless user experience.
- Employed interactive elements and features to enhance website usability and encourage user engagement throughout the survey process.
- Designed the survey web application as a powerful tool for gathering valuable insights and data from users, enabling informed decision-making and actionable outcomes.
🎓 Education
Private Higher School of Engineering and Technology ESPRIT
Software Engineering Degree 2019 – 2024
- Data Science
📚 Academic Projects
Please visit my Portfolio for more details.
🦾 Skills
- Programming: Python, R, SQL, Matlab, Scala, Django, Java, C, C++.
- Libraries and Tools: NumPy, pandas, sci-kit-learn, TensorFlow, PyTorch, Keras, Matplotlib, Seaborn, Plotly, OpenCV, NLTK.
- Data Analysis and Visualization: Tableau, Power BI, Data Visualization, VBA, Excel, Apache Airflow.
- Big Data and Databases: MySQL, NoSQL, Oracle, Hadoop, Spark, Hive, Pig, Kafka, Apache Cassandra, Elasticsearch
- Cloud and DevOps Tools: Microsoft Azure (Machine Learning Studio), AWS (SageMaker), Jenkins, Docker, Git, MLOps, Grafana, Prometheus.
- Tools: Jupyter Notebook, Google Colab, VS Code, IntelliJ IDEA, Microsoft Visual Studio, Eclipse, Notepad++, CUDA
- Others: Pack Office, Canva.