Edward Molina

Business Unit Manager - Data Analytics & Ai at Davinci Technologies Latam

Based in Popayán, Colombia

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Seniority

Other

Department

Other

Location

Popayán

Industry

IT Services and IT Consulting

Company size

127

Contact information

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Email

1 credit

e•••••••@davinci.tech

Phone

5 credits

+57 ••• •••• ••••

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Background

About Edward Molina

Passionate about data and Artificial Intelligence with over 8 years of experience, including building solutions and leading teams that have developed 20+ Google Cloud-based solutions for clients in retail, banking, healthcare, oil & gas, and other industries across Central and Latin America. These projects were related to- Data analysis, Business Intelligence, Big Data, data lakes, data warehouses- Data integration, ingestion, and processing of high volumes of information- Training and evaluation of Machine Learning models- MLOps (Machine Learning Operations) and deployment of ML models- Generative Artificial Intelligence- Computer Vision- Implementation of natural conversation experiences and solutions based on NLP (Natural Language Processing)- Information extraction, processing, and document classification- Data Governance- RPA (Robotic Process Automation)- Enterprise-level consulting involving the assessment of organizational maturity in data analytics and AI, and the creation of a roadmap for migrating on-premise environments to the cloud. Currently, I am the head of a Data Analytics and AI Business Unit, engaging with D-Level and C-Level roles of our clients. I am responsible for the design of data analytics and AI solutions, design of cloud-based data architectures, pre-sales processes, business proposal creation for RFIs and RFPs, development and deployment of solutions, and post-production technical support. I am also responsible for the organization's recognition as Data Analytics Specialists by Google. Tech Stack (Google Cloud): Cloud Storage, BigQuery, Dataplex, Looker Studio, Looker, Dataprep, Dataflow, Dataproc, Data Fusion, Colab, Vertex AI (Notebooks, Training, Prediction, AutoML, ML APIs), Vertex AI Pipelines, Cloud Build, Cloud Source Repositories, Container Registry, Cloud Run, Cloud Functions, Dialogflow, Document AI, Dataplex, Gemini.

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