2023 - Present

Python and Data science instructor @BinatnaData

• Facilitated understanding of data science by creating easy-to-follow videos and hosting engaging events for the community. • Conducted workshops and events to educate the community on data science, resulting in 200+ attendees and 90% positive feedback.

Jul 2023 - Oct 2023

Freelancer Data specialist @Upwork

• Employed both manual and automated data cleaning techniques, initially using Excel to address inconsistencies and later performing data type checks and conversions within a Python script. • Employed advanced imputation techniques such as the IterativeImputer to handle columns with significant missing values, enhancing the dataset’s accuracy and integrity. • Achieved an accuracy of 86% through a project aiming at searching for a convenient meal based on detected ingredients through your phone camera. • Built a smart mobile application using Flutter and TensorFlow Lite (Deep learning, CNN, MobileNetV2). • Utilized a training data set with over 49 items, each one with over 1000 images.

Mar 2023 - Jul 2023

Business Intelligence Data Warehouse Consultant intern @Ciments du Maroc - HeidelbergCement Group

• Developed a robust ETL pipeline using SSIS, powering a data warehouse represented by a SQL Server DB that feeds Tableau software for reporting. • Built insightful dashboards using Tableau Software to better understand the company’s data, enabling informed decisionmaking after a set of analyses.

Aug 2022 - Feb 2023

Data scientist @textsummarizer.net

• Implemented OCR technology & NLP-based summarizer for a SaaS product, deployed on Kubernetes using Python Flask framework to digital ocean. • Utilized Machine Learning and Deep Learning inventions to enhance NLP-based text summarizer, resulting in an improvement in text summarization accuracy.

Jun 2022 - Aug 2022

Data Scientist intern @Computer and Systems Engineering Laboratory (L2IS)-FSTM-

• Conducted web scraping of economic websites to extract data, which was subsequently transformed into a structured format. • Leveraged Natural Language Processing (NLP) techniques to analyze the gathered data, enabling the extraction of opinions and sentiments about various organizations. • Skillfully designed and developed a user-friendly dashboard that presented the analyzed data, facilitating effective e-reputation management.

May 2021 - Jul 2021

Full-stack Web Developer @Atlas Web Solutions

• Designed and developed a comprehensive web application for efficient client management in the car wash industry. • Utilized a tech stack including Laravel, VueJS, AJAX, HTML5, CSS, and Bootstrap5 to create a seamless and user-friendly platform. • Implemented features for client profiles, appointment scheduling, and registration processes, enhancing the overall customer experience.