• Sep 2022 - Present

• Mar 2022 - Sep 2022

🌳 Within a precision agriculture project focusing on fruit yield :• Produced literature reviews reports on the use of prediction techniques and crop yield data.• Prodcued Exploratory Data Analysis visualisations and descriptive reports on fruit yield data.• Designed and implemented Machine Learning and Deep Learning models for fruit yield prediction based on numerical and categorical agro data.• Improved computer vision programs for fruit tree detection and classification via satellite imagery. • Designed and developed a graphical user interface for satellite imagery processing for crop data.Tools : Python, Matplotlib, Seaborn, Pandas, Numpy, scikit-learn, OpenCV, Keras/Tensorflow, Rasterio, PyQt5. Show less

Software Engineering Intern

• Aug 2021 - Sep 2021

• Developed a REST API for CRUD operations on the evolan software users accounts, their roles and priviliges. • API testing and management procedures with Postman. • Developped a single page front end client for the API. Tools : Java EE, MySQL (database design and implementation), Postman, JavaScript, Ajax. • Developed a REST API for CRUD operations on the evolan software users accounts, their roles and priviliges. • API testing and management procedures with Postman. • Developped a single page front end client for the API. Tools : Java EE, MySQL (database design and implementation), Postman, JavaScript, Ajax.

Data Science Intern

• Jul 2021 - Aug 2021

For digital marketing purposes : • Set up an automated data collection tool about potential clients. • Explored multiple E-commerce datasets and pitched a machine learning model that predicts the next purshases of a client from its first purchase using unsupervised learning (K-Means) and supervised learning (SVM, Decision trees, KNN). Tools : Python, Scrapy, Selenium, pandas, matplotlib, sickit-learn. For digital marketing purposes : • Set up an automated data collection tool about potential clients. • Explored multiple E-commerce datasets and pitched a machine learning model that predicts the next purshases of a client from its first purchase using unsupervised learning (K-Means) and supervised learning (SVM, Decision trees, KNN). Tools : Python, Scrapy, Selenium, pandas, matplotlib, sickit-learn.

Software Engineering Intern

• Jul 2020 - Sep 2020

Tackling the attendance management issues in school's classrooms, my team and I developed a software solution based on the QR Codes technology; the whole process is digitalized and students only have to scan a QR Code to be marked present. Tools : PHP, MySQL, JavaScript, HTML5, Bootstrap Tackling the attendance management issues in school's classrooms, my team and I developed a software solution based on the QR Codes technology; the whole process is digitalized and students only have to scan a QR Code to be marked present. Tools : PHP, MySQL, JavaScript, HTML5, Bootstrap