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

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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!

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