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Data Architect | Data Engineer | MSc Computer Science
Senior Data Architect with 8+ years of experience implementing high quality analytical projects in different fields such as telcos, banking, entertainment and consulting following the best practices. Currently assuming a role of Head of Data Strategy and Architecture leading a team of data architects, data engineers, data modelers and formed a group of people who are in charge of data operability. Deep knowledge in: - Data Architecture & Strategy - Data Management - Data Governance - Artificial Inteligence & Machine Learning - DataOps & MLOps - AWS | Azure | GCP
Pontificia Universidad Católica del Perú
Master of Science - MS, Computer Science
January 1, 2018 – January 1, 2019
Udacity
Deep Learning Nanodegree
January 1, 2017 – January 1, 2017
National University of Engineering
Bachelor of Science (BSc), Mechatronics Engineering, Robotics , Machine Learning and Cloud Computing
January 1, 2011 – January 1, 2015
Casino Atlantic City
Head of Data Strategy & Architecture
March 1, 2022 – July 1, 2023
Banco de Crédito BCP
Senior Data Architect - Center of Excellence Data
November 1, 2020 – March 1, 2022
Lima, Peru
Telefónica Perú
Big Data & Analytics Architect
January 1, 2018 – November 1, 2020
Peru
everis
Machine Learning Engineer
January 1, 2017 – January 1, 2018
Peru
IBM
Software Engineer
February 1, 2015 – January 1, 2017
Av. Javier Prado Este 6230
Deep Learning
IBM
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Cloud Computing Foundation
EXIN
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IBM Blockchain Essentials
IBM
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IBM Design Thinking Practitioner
IBM
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Bluemix Essentials
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Cultural Fit Analysis
The candidate has worked in diverse industries (finance, telecommunications, consulting, gaming) and roles ranging from Software Engineer to Head of Data Strategy & Architecture. This breadth of experience suggests adaptability. The focus on data architecture and MLOps aligns with a structured, data-driven culture. However, the recent roles lean more towards data architecture and strategy rather than hands-on ML engineering, which might require a shift in focus for a pure ML Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving architecture and strategy, suggesting strong analytical and problem-solving skills. Experience in implementing MLOps and best practices indicates an operational mindset. However, without specific assessment data, soft skills like teamwork, leadership, and communication cannot be fully evaluated.