ÂÜÀòÂÒÂ×

Walid Hafiane has a diverse work experience in the field of data science. Walid is currently working at CircleCI as a Data Scientist, starting in March 2022. Prior to that, they served as a Lead Data Scientist at Ponicode from May 2021 onwards. At Ponicode, they contributed to the development of solutions that improve code quality using artificial intelligence techniques.

Before joining Ponicode, Walid worked as a Data Scientist at Loria from March 2020 to November 2020. Their main focus was on improving the performance of relation extraction tasks through the proposal of new deep learning architectures. Walid conducted state-of-the-art research on relation extraction and proposed BERT-based deep learning architectures with transfer learning strategies to enhance performance on biomedical corpora.

Additionally, Walid also worked as a Data Scientist at Loria from March 2019 to May 2019, where they were involved in the implementation of a facial expression detection and clustering system in video streams. Walid utilized features derived from salient points and applied machine learning techniques such as K-means and DSOM for clustering.

Furthermore, they gained experience as a Data Scientist at Université de Batna 2 & Direction de Transport Batna from January 2017 to June 2017. In this role, they developed a preprocessing phase to generate transport graphs based on geolocation data and implemented algorithms for urban transport route planning using Dijkstra's algorithm. Walid also introduced optimizations through graph transformations to reduce computational complexity.

Throughout their career, Walid has utilized various tools and technologies such as Python libraries (Sklearn, Matplotlib, Opencv, Dlib), Java, C, Makefile, Lex, Android Studio, and Google Map API.

Overall, Walid Hafiane has a strong background in data science with expertise in areas such as code quality improvement, relation extraction, facial expression analysis, and urban transport optimization.

Walid Hafiane began their education in 2014 at Université Batna 2, where they pursued a Bachelor's degree in Computer Systems. Walid completed this program in 2017. The following year, from 2017 to 2018, they attended Université de Batna 2, specializing in Artificial Intelligence & Multimedia and obtained a Master's degree in this field.

In 2018, Walid continued their education at Université de Lorraine, where they completed a Master's degree in Computer Science. Walid then pursued further specialization in the field of computer vision, robotics, and learning, obtaining a Master 2 degree from the same university in 2019.

Walid's education journey continued in 2020 at Université de Lorraine, where they completed a Diplôme Universitaire Langue Anglaise en Situations Professionnelles (DULASP) in Professional English.

The chronological education history for Walid Hafiane includes a Bachelor's degree in Computer Systems, followed by a Master's degree in Artificial Intelligence & Multimedia, a Master's degree in Computer Science, and finally, a Diplôme Universitaire in Professional English.