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Hi, I'm Mary Michelle Ambrosio, a data & AI consultant passionate about turning complex data into practical business insights. I specialise in building safe AI systems, scalable data pipelines, and insightful dashboards for global brands across financial services and technology sectors. I thrive in collaborative, Agile environments and enjoy turning challenges into robust solutions, from guardrails that keep AI compliant to cloud ELT pipelines that reduce latency. Outside work, I love learning about emerging AI ethics and sharing knowledge with teams to drive data-driven decision making.…Hi, I'm Mary Michelle Ambrosio, a data & AI consultant passionate about turning complex data into practical business insights. I specialise in building safe AI systems, scalable data pipelines, and insightful dashboards for global brands across financial services and technology sectors. I thrive in collaborative, Agile environments and enjoy turning challenges into robust solutions, from guardrails that keep AI compliant to cloud ELT pipelines that reduce latency. Outside work, I love learning about emerging AI ethics and sharing knowledge with teams to drive data-driven decision making.

Mary Michelle Ambrosio

Programmer, Data Scientist, AI Engineer, +2

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Hi, I'm Mary Michelle Ambrosio, a data & AI consultant passionate about turning complex data into practical business insights. I specialise in building safe AI systems, scalable data pipelines, and insightful dashboards for global brands across financial services and technology sectors. I thrive in collaborative, Agile environments and enjoy turning challenges into robust solutions, from guardrails that keep AI compliant to cloud ELT pipelines that reduce latency. Outside work, I love learning about emerging AI ethics and sharing knowledge with teams to drive data-driven decision making.…Hi, I'm Mary Michelle Ambrosio, a data & AI consultant passionate about turning complex data into practical business insights. I specialise in building safe AI systems, scalable data pipelines, and insightful dashboards for global brands across financial services and technology sectors. I thrive in collaborative, Agile environments and enjoy turning challenges into robust solutions, from guardrails that keep AI compliant to cloud ELT pipelines that reduce latency. Outside work, I love learning about emerging AI ethics and sharing knowledge with teams to drive data-driven decision making.

Available to hire

Hi, I’m Mary Michelle Ambrosio, a data & AI consultant passionate about turning complex data into practical business insights. I specialise in building safe AI systems, scalable data pipelines, and insightful dashboards for global brands across financial services and technology sectors.

I thrive in collaborative, Agile environments and enjoy turning challenges into robust solutions, from guardrails that keep AI compliant to cloud ELT pipelines that reduce latency. Outside work, I love learning about emerging AI ethics and sharing knowledge with teams to drive data-driven decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Associate Data & AI Consultant at Capgemini Singapore

May 1, 2024 - November 1, 2025

Developed input and output guardrails using NeMo Guardrails to ensure safe and compliant AI system responses for a major financial institution; Designed and implemented a cloud-based ELT pipeline using Python and Google Cloud Platform to transform and load data into BigQuery for a multinational electronics company, reducing data latency and improving pipeline reliability; Developed Python scripts for automated sentiment analysis of social media data using NLP (SentenceTransformers), reducing manual tagging time by 50% for a global consumer brand; Built and maintained operational Power BI dashboards and databases, delivering real-time business performance insights to senior stakeholders.

Technology Consultant Intern at Ernst & Young (EY) Singapore

January 1, 2023 - December 1, 2023

Developed a Python program to automate the identification of changes in over 400,000 records, improving efficiency and accuracy in data management by 60%; Constructed SQL scripts to patch data and efficiently extract essential data; Collaborated with cross-functional teams to identify workarounds, implement fixes, and perform User Acceptance Testing (UAT) in an Agile Scrum environment.

System Analyst Intern at United Overseas Bank (UOB) Singapore

August 1, 2019 - February 1, 2020

Automated data extraction processes using Java, SQL, and the Spring Batch framework, reducing manual processing time by 40% in an Agile Scrum environment; Conducted System Integration Testing (SIT) and UAT; Developed test cases and produced functional and technical documentation.