Senior Research Data Scientist working on research projects in the area of machine learning with graphs. Experienced in analyzing clients’ needs to solve business issues through machine learning and developing prototypes…
Senior Research Data Scientist working on research projects in the area of machine learning with graphs. Experienced in analyzing clients’ needs to solve business issues through machine learning and developing prototypes leveraging large language models to improve clients’ journey.
In the role of a data scientist, the primary responsibilities include developing state-of-the-art machine learning models tailored to address specific challenges or enhance existing systems. This involves comprehensive data processing activities and the construction of efficient data pipelines to ensure the seamless flow and accessibility of data for analysis. A critical aspect of the role is requirements collection, which entails engaging with stakeholders to understand their needs and objectives clearly. Problem-solving is central to the position, requiring the data scientist to apply analytical and technical skills to navigate and address complex issues. Additionally, the responsibility extends to suggesting innovative solutions that leverage the latest advancements in technology and data science methodologies, aiming to drive improvements, optimize processes, and deliver significant value to the organization.
Working on research projects in the area of machine learning with graphs.
Analyze clients’ needs to solve business issues through machine learning.
Developing several prototypes leveraging large language models to improve clients’ journey.
ETL processes.
Design and maintain scalable data models and pipelines mainly using SQL, Graph databases.
Analyze clients’ needs to solve business issues through data analysis.
Developed a plugin in the “Cytoscape” software platform, which counts subgraphs in complex networks.
Lecturing practical class of two subjects: Databases (Engineering faculty) and Imperative programming (Sciences faculty).
Lecturing in Sciences faculty's continuous training program (PRR).
Lecturing Databases (theoretical & practical) and programing in Python (practical).
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