Diogo Moura
@diogomoura
Data Scientist skilled in NLP and large-scale data analytics.
What I'm looking for
I am a dedicated Data Scientist with a strong foundation in Electrical and Computer Engineering, complemented by a Master's degree in Data Science and Engineering from the prestigious Universidade de Lisboa. My professional journey at IBM has equipped me with extensive experience in developing innovative NLP applications and leading large-scale data analytics projects. I am passionate about leveraging technology to enhance customer experiences and drive operational efficiency.
Throughout my career, I have successfully transformed email response systems for banking clients, significantly improving accuracy and customer satisfaction. My technical expertise spans various programming languages and frameworks, including Python, Java, and AWS. I have also contributed to projects that optimize model performance for visual-spatial reasoning and implemented serverless architectures for IoT event processing. I am committed to continuous learning and professional growth, as evidenced by my certifications in Azure and AWS.
Experience
Work history, roles, and key accomplishments
Data Scientist
IBM
Jun 2022 - Present (2 years 11 months)
As a Data Scientist at IBM, I developed NLP applications using LLMs and Retrieval-Augmented Generation for banking clients, enhancing email response systems. I also led a project on Azure Databricks for large-scale data analytics, utilizing Apache Spark for efficient data processing.
Software Engineer Intern
IBM
Jul 2021 - Sep 2021 (2 months)
During my internship at IBM, I developed monitoring and observability capabilities for the Edoclink application using Microsoft Azure tools, significantly enhancing system monitoring efficiency.
Education
Degrees, certifications, and relevant coursework
Universidade de Lisboa - Instituto Superior Técnico
Bachelor of Science, Electrical and Computer Engineering
Bachelor of Science in Electrical and Computer Engineering.
Universidade de Lisboa - Instituto Superior Técnico
Master of Science, Computer Science
Grade: 17/20
Master of Science in Data Science and Engineering with a GPA of 17/20.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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