Freelancer profile translated to English.
Back to original languageAbout Hamdi
Data enthusiast for 4 years. Geek and entrepreneur. I have worked on several Data projects where the challenge was to properly process a large amount of information with the right method and the right tool.
My skill set includes: Python, Spark, Scala, ML, Airflow, Tableau, GCP BigQuery, Kafka.
Example of a project I was involved in: Collection, distribution, and monitoring of a large amount of data for a telecommunications client. Cleaning their data and processing it to extract relevant indicators allowing the client to (1) track their customer base (2) make strategic decisions regarding new product launches (3) be alerted as early as possible in case of divergence.
Arabic
Native or bilingual
English
Fluent
French
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Bouygues TelecomData ScientistSeptember 2020 - Today (5 years and 9 months)Île-de-France, FranceThe acquisition of daily collected data from multiple distributed sources (Spark catalogue, S3, Firebase), to be cleaned (PySpark) and automatically treated to extract useful insights (PySpark, Apache Airflow) about our clients, in terms of behaviour (time series), Quality of Experience (clustering) or punctual technical problems. The use of data to explain new business developments and the root cause behind issues The delivery of advanced analytics, reporting applications to stakeholders (e.g. Operation, Business, Product, etc.)
- OctopeekData-Science/Big-Data instructorFebruary 2019 - Today (7 years and 4 months)Île-de-France, FranceI intervene in Big data, AI, Data science courses/workshops with nationally known training organisms. ★ Key workshops:- Big Data fundamentals- Data science fundamentals- Advanced Data Science NLP and Deep Learning via Python- Hadoop Hive Pig Pyspark Data Analysis- NoSQL databases (MongoDB, Cassandra) and ElasticSearch- Data Engineering (ETL, Nifi, Kafka)
- OctopeekData ScientistFebruary 2019 - Today (7 years and 4 months)Paris, FranceCompetitive price watch platform for an e-commerce seller ✓ Collection of product databases from online sites/opendata/Client files ✓ Data ingestion under HDFS/NoSQL architectures ✓ Products' matching based on reference / name (NLP) / images (DeepL) ✓ APIsation of the solution for web use ✓ Project conducted under Agile methods ★ Keywords: Python, Hadoop Cloudera, HDFS, Hive, PySpark, Pandas, RegEx, MongoDB, ElasticSearch, Hortonworks DataFlow (Apache NiFi), Flask, Git, Agile Methodology, JIRA
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Education
- Master's degree, Multimedia Networking, Deep Learning and Computer visionTélécom Paris2018Master's degree, Multimedia Networking, Deep Learning and Computer vision
- Engineer's degree, Signals and SystemsTunisia Polytechnic School2017Engineer's degree, Signals and Systems