I am passionate about using data to solve complex problems. Fond of mathematics, statistics, and computer science, I quickly understood the value of leveraging
large datasets to help businesses address economic, societal, or environmental challenges. It was only natural for me to pursue studies in data science.
As a recent graduate from the Master’s program in Computer Science for Intelligence and Data Management at UQAM, I have developed strong skills in data analysis,
engineering, and predictive modeling to support decision-making. I am a curious individual, highly motivated, with a good spirit of communication, collaboration, and leadership.
For more information, please visit the About page
Magariou Diallo
Terrebonne, QC, Canada
From understanding the business need to data collection to predictive modeling through exploratory analysis, and ending with the production and maintenance of the developed solution.
Understanding the business need, collecting, cleaning and preparing data, designing the architecture, setting up data pipelines, error management and data security, deployment and maintenance.
Creation of dynamic and interactive websites (Back-end and Front-end).
Python, SQL, Scikit-Learn, Spark MLlib, Pandas, Numpy, Matplotlib, Seaborn, BeautifulSoup, Keras, Tpot, Scikit-Surviva, Flask
Hadoop, PySpark, MongoDB, Cassandra, ElasticSearch, Kafka
Windows, Linux
Git(Github, Bitbucket), GoogleColab, Kaggle
NetBeans, Tableau Software, RapidMiner, Visual Paradigm, Visual Studio Code, Anaconda
HTML5/CSS3, Bootstrap, PHP, MySQL, JQuery, Chart.js
UML, SCRUM, Kanban, Google Cloud Platform(GCP)
Here you will find my latest data-relevant projects. To see more projects, please go to my github account.