Transforming Data into Actionable Insights

Final-year Data Science student | Python, R, ML/DL | Game developer in Unity | Passionate about ethical AI and real-world impact

View My Work Donate

About Me

Hi, I'm Wassim Hamdi, a Data Scientist and final-year Statistics and Data Science student based in Algeria. My journey into data began with a love for statistics and programming, which quickly grew into a deeper passion for machine learning, artificial intelligence, and solving real-world problems with data.

I thrive on uncovering patterns in complex datasets and building models that make a measurable impact. From predictive analytics to algorithm development, I believe in using data ethically and effectively to drive smart decisions and innovation.

I'm proficient in Python, R, SQL, and well-versed in machine learning and deep learning frameworks. I also enjoy building video games using Unity and C#, a creative outlet that sharpens both my logic and problem-solving skills.

Core Competencies

Programming & Databases

Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
R (Dplyr, Ggplot2, Shiny)
SQL (PostgreSQL, MySQL, BigQuery)
NoSQL (MongoDB)
Git & Version Control

Machine Learning & AI

Supervised Learning (Regression, Classification)
Unsupervised Learning (Clustering, Dimensionality Reduction)
Deep Learning (CNNs, RNNs, Transformers)
Natural Language Processing (NLP)
Model Evaluation & Tuning

Data Engineering & Big Data

ETL Pipelines
Apache Spark (PySpark)
Cloud Platforms (AWS, GCP, Azure)
Docker & Kubernetes
Data Warehousing Concepts

Data Visualization & Tools

Tableau / Power BI
Matplotlib, Seaborn, Plotly
Streamlit / Dash
Jupyter Notebooks / VS Code
Statistical Analysis

Featured Projects

Effect of screen time on mental health

studied the effect of screen time on mental health. Identified key drivers of mental health.

PythonScikit-learnspan>Pandas

GitHub Case Study

Real-time Sentiment Analysis Dashboard

Built an interactive dashboard using Streamlit and NLP techniques (BERT) to analyze real-time sentiment from social media data related to specific keywords. Visualized trends and polarity shifts.

PythonNLPTransformersBERTStreamlitPlotly

GitHub Live Demo

Urban sound classification

Implemented a Convolutional Neural Network (CNN) using PyTorch to classify urban sounds images (e.g., trains shopping malls) with high precision and recall. Employed data augmentation & transfer learning.

PythonDeep LearningPyTorchCNN

GitHub Paper

Experience & Education

Earned Bachelor's Degree

BAC | 2021

Completed undergraduate studies and obtained a Bachelor's degree.

Preparatory Program, ENSSEA

(École Nationale Supérieure de Statistique et d'Économie Appliquée) | 2021 – 2023

Enrolled in ENSSEA and completed two years of preparatory classes.

Admitted to Master's Program at ENSSEA

Master's Program | 2023

Passed national entrance examination and formally admitted into ENSSEA’s Master’s program.

Selected Data Science as Major

University of Advanced Computing | 2024 - present

Chose Data Science as a specialization within the Master's curriculum.

Internship

Sence conseill agency | summer 2025

Currently in the final year of Master’s studies. Working as a Business Analyst Intern at Sence Conseils, gaining hands-on experience in business analysis and data-driven decision-making.

Get In Touch

I'm passionate about leveraging data to solve complex problems and always open to discussing new ideas, collaborations, or opportunities. Let's connect!

Email Me

Support My Work

If you find my projects helpful, consider supporting my work with a donation. Your contributions help me continue developing open-source tools and resources.