University of Gustave Eiffel
Master degree, Computer Science
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Natural Language Processing (NLP) methods for text processing and machine learning to match products from multiple internal sources at BNP. The goal was to enrich the data warehouse with information on financial instruments and to develop a front-end interface to visualize the results. I used technologies such as Python, SPARK, Amazon S3, and MLflow. As a result, I extracted a table containing matched products from both datasets and calculated accuracy for various similarity thresholds.
Salem H. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master degree, Computer Science
Engineering, Computer Science
Data Engineer / Cloud Engineer
IT Project manager