Welcome to my GitHub portfolio!
I am a Data Science student with a strong interest in data analysis, machine learning, and big data technologies.
This repository showcases my academic projects, technical skills, and hands-on experience with real datasets.

• 🎓 Program: Applied Data Science
• 📍 Location: Ottawa–Gatineau, Canada
• 📊 Interests: Data analysis, Machine Learning, Big Data, ETL pipelines
• 💡 Tools I enjoy working with: Python, SQL, Spark, Pandas, Power BI

• Python (Pandas, NumPy, Scikit-learn)
• SQL
• PySpark (RDD & DataFrames)
• Hadoop (HDFS)

• Data cleaning & preprocessing
• Exploratory Data Analysis (EDA)
• Classification & Regression models
• Clustering (K-Means, DBSCAN)
• Dimensionality reduction (PCA, MCA)

• Jupyter Notebook
• Git & GitHub
• VS Code
• Docker (basic usage)
• PowerPoint & technical reporting

• Objective: Predict clients likely to default on credit card payments
• Techniques: EDA, PCA, K-Means clustering, classification models
• Tools: Python, Pandas, Scikit-learn

• Objective: Analyze large-scale taxi trip data
• Techniques: Spark DataFrames, aggregations, correlations
• Tools: PySpark, Hadoop

• Objective: Classify SMS messages as spam or ham
• Techniques: TF-IDF, Logistic Regression, SVM, MLP
• Metrics: Accuracy, Precision, Recall, F1-score

(More projects available in the repository folders)

• 📁 Clean and well-structured project folders
• 📓 Jupyter notebooks with explanations
• 📊 Data visualizations and interpretations
• 📝 Reports and presentation slides

• GitHub: https://github.com/traore19
• LinkedIn: https://www.linkedin.com/in/traore-fadimatou-648162347/
• Email: traorefadimatou21@gmail.com

⭐ Feel free to explore my projects and connect with me!