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Idriss Tondji
Idriss Tondji is a Data Science Intern at Data-Pop Alliance. He was AIMS Scholar where he received an MSc in Machine Intelligence at the African Master in Machine Intelligence (AMMI) Program, fully funded by Google and Meta and an additional MSc in Mathematical Sciences with a specialization in Big Data at the African Institute in Mathematical Sciences (AIMS), fully funded by AIMS Next Einstein Initiative (NEI), Senegal. His recent experiences have been in the data science field, during which he has served as a Junior Data Scientist at Patworc. In this role, he was personally responsible for analyzing patents data, data cleaning, producing meaningful dashboards, summarizing the key findings, and text mining. He used data science technologies combined with Natural Language Processing techniques to analyze patents and scientific articles in order to contextualize their similarities or differences.
Additionally, he has experience teaching at both the graduate and undergraduate levels at AMMI/AIMS Senegal and other institutions in the country. He has also participated in various competitions and challenges involving AI and has twice won the Zindi Africa Hackathon (June 2020, March 2021). He is involved in several volunteering activities, including as a volunteer at 15th and 16th ACM Conference on Recommender Systems (RecSys 2020, 2021). He is a Black in AI Workshop 2022 organizer, co-located with NeurIPS 2022, New Orleans. He is one of the founding members of the Roya-CV4Africa community, with the main goal of strengthening computer vision research and bridging the gap within the current grassroots AI ecosystem on the African continent.
His interests include learning theory, machine learning, data analysis, image segmentation using vision transformers, machine translation, information extraction, sentiment analysis, and their application to social good.