Imane El Ghabi

Master Thesis: Domain Specific NER and RE for Knowledge Graphs Construction

Phenoma Platform of Agriculture, Benguerir, Morocco

Mar 2024 – Sep 2024

Led the development of an English Knowledge Graph for plant biology, enhancing data management and accessibility using Named Entity Recognition (NER) and Relation Extraction (RE). This project focused on improving data extraction, management, and utilization within agricultural research.

Utilized advanced NLP technologies, including a fine-tuned BERT model, to model relationships within agricultural data. The research significantly enhanced the ability to extract actionable insights from large, unstructured datasets, facilitating more informed decision-making for agricultural researchers.

Refined research methodologies to address key challenges in agricultural knowledge management, resulting in a substantial improvement in the accuracy and utility of data extraction from diverse sources.

Data Automation Consultant (Short-Term)

The World Bank, Rabat, Morocco

Sep 2023 – Oct 2023

Engineered a data extraction tool using advanced language models and regular expressions, which increased the efficiency of data pipelines by 40% and reduced processing time by 25%. This tool was designed to handle large-scale data extraction and processing tasks, improving overall operational efficiency.

Aggregated unstructured data from over 10 different sources using advanced web scraping techniques, extracting valuable insights that directly contributed to high-level decision-making and policy recommendations at The World Bank.

Machine Learning Engineer Intern

VOSYN Inc., Remote, Canada

Jul 2023 – Sep 2023

Leveraged Tacotron 2, VALL-E, and Tortoise-TTS alongside large language models (LLMs) to enhance the quality and naturalness of voice synthesis, significantly improving user experience and engagement with the platform.

Played a key role in developing an innovative voice synthesis platform, improving multilingual capabilities and dynamic accuracy. This development broadened accessibility for users globally, offering more natural and accurate voice interactions across various languages.

Optimized linguistic models with PyTorch, enhancing comprehension and response generation, which led to a 30% decrease in user query resolution time, boosting the platform's overall efficiency and user satisfaction.

IT Intern

CERN, Geneva, Switzerland

Jul 2022 – Aug 2022

Implemented robust RESTful APIs to facilitate efficient data management and integration for the High Granularity Timing Detector (HGTD) within the ATLAS experiment, significantly boosting research productivity through improved data accessibility.

Designed and developed a sophisticated visualization application for the HGTD, enhancing data interpretation for researchers involved in particle physics studies.

Collaborated with interdisciplinary teams to design data schemas tailored for long-term data storage, ensuring compatibility and scalability to meet diverse research needs across CERN.

Data Science Intern

OCP Group, Morocco

May 2022 – Jul 2022

Structured and analyzed data to improve energy efficiency at OCP Group, working on optimizing energy consumption in various processes within the organization.

Created machine learning models to make accurate predictions and inform decision-making processes, particularly in energy management.

Provided solutions to optimize energy consumption at the Wastewater Treatment Plant (WWTP) of Ben Guerir city, significantly improving environmental sustainability while reducing operational costs.