Bouchelliga Mohamed Hedi
About Bouchelliga Mohamed Hedi
Bouchelliga Mohamed Hedi is a Data Scientist at DNA Global Analytics in Tunisia, where he has worked since 2021. He specializes in natural language processing and data extraction techniques, utilizing advanced tools such as Spacy and OCR.
Work at DNA Global Analytics
Bouchelliga Mohamed Hedi has been employed as a Data Scientist at DNA Global Analytics since 2021. In this role, he focuses on utilizing advanced Natural Language Processing (NLP) tools, including Spacy and Named Entity Recognition, to enhance data analysis capabilities. His work involves extracting structured data from various types of invoices and analyzing expenses using NLP techniques. His contributions support the company's objectives in data-driven decision-making.
Education and Expertise
Bouchelliga Mohamed Hedi studied at the National School of Engineers of Carthage (ENICARTHAGE), where he earned an Engineering degree in Mechatronics and Robotics Engineering from 2015 to 2019. He has also engaged in self-learning, achieving proficiency in Machine Learning and Deep Learning. His educational background provides a strong foundation for his current work in data science and advanced analytics.
Professional Background
Before joining DNA Global Analytics, Bouchelliga Mohamed Hedi held several positions in the technology sector. He worked as an AI Research Engineer at Havensen from 2020 to 2021. Prior to that, he completed a five-month internship as an Engineering graduation intern at SYSLENS ELECTRONICS in 2019. He also gained experience as an intern at Citroën Tunisie in 2017. These roles contributed to his development in data science and engineering.
Technical Skills and Projects
Bouchelliga Mohamed Hedi specializes in extracting structured data from invoices using Optical Character Recognition (OCR) and analyzing expenses through NLP techniques. He has developed APIs for mobile and web applications utilizing technologies such as Flask and Google Cloud Platform. His technical skills enable him to contribute effectively to projects that require advanced data processing and analysis.