Rebeca M.

Data Engineering Manager @CELUS

Munich, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2024 — Present

Data Engineering Manager @CELUS

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Munich, DE

Leading data engineering initiatives for an innovative AI-driven electrical engineering platform-Spearheading the development of AI solutions for automated Bill of Materials (BOM)generation using Databricks ML - Architecting modern data infrastructure on AWS cloud tosupport AI-powered electrical engineering tools - Implementing robust data transformationpipelines using dbt for reliable analytics and ML features - Building scalable MLOps practices forcircuit design optimization - Advancing data maturity frameworks in a fast-paced startupenvironment - Technologies: Databricks, AWS (EMR, S3, Lambda, ECS), dbt, Delta Lake, MLflow,Specialized Engineering Tools

EDUCATION

2009 — 2010

FIA - Fundação Instituto de Administração

Specialization, Business Intelligence

2019 — 2019

The Johns Hopkins University

Specialization, Executive Data Science

2003 — 2008

USP - Universidade de São Paulo

Bachelor of Applied Science (BASc), Meteorology

ABOUT REBECA M.

Passionate about AI, data innovation, and with a process-oriented mindset. Lead cross-functional and cross-cultural teams, thanks to my excellent communication skills and strategic negotiation experience. Known for my problem-solving abilities, I approach challenges with curiosity and a keen analytical eye.Key Achievements- Led a team of 15 data analysts to develop a comprehensive Business Intelligence solution, increasing operational efficiency- Implemented a data governance framework that improved data quality and compliance, reducing data-related incidents by 30%- Spearheaded a machine learning project that optimized procurement processes, leading to a 15% cost reduction- Developed and executed a strategic data product for finance that created a business for the company ~$1.5 million annually- Innovated forecasting processes using Design Thinking and Storytelling, enhancing predictive accuracy by 25% on logistics.My technical proficiency spans forecasting, process innovation, and the application of Design Thinking and Storytelling. I am adept at creating clear documentation, prioritizing requirements, and understanding the impacts of processes to benefit business use cases. My adaptability allows me to handle issues and manage change requests effectively.Aspiring to lead in Machine Learning or AI, I am eager to leverage my skills to drive data-centric innovation and deliver impactful solutions in any organization.

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