Machine Learning | Data engineering | Crafting Scalable ML Models for Real-Time Decision Making | Consultant Global Delivery.
I completed work projects on data science, big data and database areas and I have enhanced qualifications in data analysis.
• Experience includes Requirements Gathering with end users, Analysis, Application Design,
Development and End-to-end Implementations, Development of quarterly roadmaps based on impact, effort and test coordinations.
• Experience in Big Data, involving Data Warehousing, Data Ingestion, Transformation,
and processing, Machine Learning, Natural Language Processing.
• Experience on Python, SQL, PL/SQL, MYSQL, R, C, C++, Unix Shell Scripting,
• Good knowledge on Amazon Web Services , Grafana, Percona Monitoring and Management, Snowflake.
• In-depth working experience in AWS Aurora PostgreSQL, AWS SQS, AWS Glue, AWS Lambda, AWS Step Function, AWS CloudWatch and SNS
• Adept in problem solving, learning new technologies and possess very good interpersonal and
analytical skills.
• Worked with large cross-functional teams across geographies such as Europe and USA.
Language
Work Experience
Education
Qualifications
Developed a conversational AI chatbot using the Rasa framework to provide an interactive and personalized user experience. The chatbot was designed to handle natural language understanding and generation, intent recognition, entity extraction, and dialogue management.
I developed a machine learning application for
transmission noise prediction , based on the
geometric parameters of the gearbox. Integration of
the machine learning application into a web
application for data visualization
The solution used advanced linguistic
technology, specifically BERT models, to accurately
identify satire in both French and English articles. The
goal was to improve our understanding
of humour and satire by applying the latest
techniques in NLP.
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