About me
Welcome to my home page !
I'm a Product Manager working for a database company called ClickHouse.
Prior to that, I've held various positions at Elastic or elsewhere in consulting, management and academic research. I hold a PhD degree from the *Conservatoire National des Arts et Métiers* where I had the chance to work on social network data analysis, recommender systems and scalability issues.
If you have some massive datasets, performance or scalability challenges, let me know!
Skills:
- Leadership and management
- Strong database and information retrieval experience
- Expert in the Elastic Stack
- Apache Lucene contributor
- Big Data and distributed systems: Elasticsearch, Hadoop-based technologies, Spark (Core, MLlib, SparkSQL), Hive, Impala
- Cloud and on prem architectures: Amazon Web Services, MS Azure, Private cloud
- Programming: Java, Python, Scala, Shell
- Strong experience in social network data analysis and recommender systems
- UNIX/Linux
- Relational databases including MySQL, Oracle, MS SQL Server
- Graph and data visualization with Gephi, d3js, Tulip
- Machine learning (WEKA, Scikit Learn, Elastic ML), NLP, Dataïku
- \LaTeX, some Web development, GIT/SVN
© Ryadh DAHIMENE | London,
My Curriculum Vitae
On the web
You can find me on the web at:
- @ryadhdotnet
- My blog
- I'm no longer a facebook user.
- Phone: Never put your number on the net!
- Gmail: dahimene.ryadh [at] gmail [dot] com
English (TOEIC Score)
French (Native tongue)
Arabic (Native tongue)
Italian / Spanish (beginner)
Publications
- [SSYDM24] Robert Schulze, Tom Schreiber, Ilya Yatsishin, Ryadh Dahimene, Alexey Milovidov: ClickHouse - Lightning Fast Analytics for Everyone. Proc. VLDB Endow. 17(12): 3731-3744 (2024)
- [CDDG16] Camélia Constantin, Ryadh Dahimene, Cédric du Mouza, Quentin Grossetti: Recommandation contextuelle d'utilisateurs pour les plateformes de micro-blogging. Ingénierie des Systèmes d'Information 21(3): 93-118 (2016)
- [CDGD16] Camélia Constantin, Ryadh Dahimene, Quentin Grossetti, Cédric du Mouza: Finding Users of Interest in Micro-blogging Systems. Conference on Extending Database Technology 2016: 5-16
- [DD15] Ryadh Dahimene, Cédric du Mouza: Filtering Structures for Microblogging Content. International Journal of Intelligent Information Technologies 11(1): 30-51 (2015)
- [D14] Ryadh Dahimene: Filtrage et Recommandation sur les Réseaux Sociaux. (Filtering and Recommendation in Social Networks). Conservatoire national des arts et métiers, Paris, France, 2014
- [DCD14] Ryadh Dahimene, Camélia Constantin and Cédric du Mouza.RecLand: A Recommender System for Social Networks. In International Conference on Conference on Information and Knowledge Management, November 2014, pp.2063-2065, Shanghai, China
- [DMS12] Ryadh Dahimene, Cédric du Mouza, Michel Scholl. Efficient Filtering in Micro-blogging Systems: We Won't Get Flooded Again. Intl. IEEE Conf. on Scientific and Statistical Databases (SSDBM'12), 2012.
- [DM13] Ryadh Dahimene, Cédric du Mouza. MicroFilter: Real Time Filtering Of Microblogging Content. 3rd Workshop on Making Sense of MicroPosts/World Wide Web Conference (WWW'13), 2013.
- [DM13b] Ryadh Dahimene, Cédric du Mouza - MicroFilter: Scalable Real-Time Filtering Of Micro-blogging Content, BDA'13, Base de Données Avancées, Octobre 2013, pp.1--5, Nantes, France.