Skip to content
View Adem-jlassi's full-sized avatar
1 follower · 0 following

Highlights

  • Pro

Block or report Adem-jlassi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Adem-jlassi/README.md

Adem Jlassi

🎓 Big Data & Data Analytics Student (3rd Year) — ISAMM Tunis
📍 Tunis, Tunisia
📧 ademjlassi.pro@gmail.com
🔗 LinkedIn

👨‍💻 Profile

Ambitious Big Data & Data Analytics student with a strong academic foundation and hands-on experience in data engineering, data science, and machine learning.

Skilled in designing data-driven solutions, working with large-scale datasets, and applying advanced analytical techniques to extract actionable insights.
Experienced with modern data ecosystems and distributed computing frameworks.

Currently seeking a PFE internship where I can contribute to real-world data projects and further develop my expertise in Data Engineering, Machine Learning, or Business Intelligence.

🧠 Core Competencies

  • Data Engineering & Distributed Systems
  • Machine Learning & Predictive Modeling
  • Data Analysis & Statistical Methods
  • Big Data Processing & Pipelines

🛠️ Technical Skills

Programming

Python · SQL · Java · R · C · C++

Big Data Technologies

Hadoop · HDFS · MapReduce · Apache Spark · PySpark · Apache Hive

Data Science & ML

Pandas · NumPy · Scikit-Learn
Matplotlib · Seaborn
Algorithms: K-Means · KNN · Decision Trees · Random Forest · Regression

Tools & Environment

Docker · Linux (Ubuntu) · Git / GitHub
Streamlit · Jupyter Notebook · Google Colab

🎯 Objective

To leverage my technical skills and academic background to:

  • Build scalable data pipelines
  • Develop intelligent machine learning models
  • Deliver impactful data-driven insights

📬 Contact

🤝 Availability

✔ Open to Internship Opportunities

Pinned Loading

  1. big-data-ransomware-analysis big-data-ransomware-analysis Public

    Big Data project using Hadoop, MapReduce, Apache Spark, PySpark, Docker and Streamlit for ransomware detection analysis.

    Python 1

  2. job_salary_prediction job_salary_prediction Public

    Data mining and machine learning project for salary prediction using data preprocessing, clustering, exploratory analysis, and Decision Tree models.

    Jupyter Notebook 1

  3. world_happiness_analysis world_happiness_analysis Public

    Statistical analysis of the World Happiness Report using regression, PCA, ANOVA, clustering, and data visualization in R.

    R 1

  4. machine_learning_algorithms machine_learning_algorithms Public

    Implementation and comparison of KNN, K-Means, Random Forest, and SVM algorithms using Python and Scikit-Learn.

    Jupyter Notebook 1