Diana Meneses Gustin
Data Scientist
3 recommandations
Salaire / Taux journalier
3 personnes recommandent
93400 Saint-Ouen-sur-Seine, France
CDI
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À propos
Introduction
Glad you are here! I’m a PhD-trained physicist and a data scientist in practice, with a focus on reliable production machine learning systems. Over the past few years, I’ve worked across data science and MLOps, delivering tangible value from model development to production deployment in the cloud. I approach problems with structure and pragmatism, while placing strong emphasis on understanding context and people. Translating needs into clear, measurable outcomes is a central part of how I work
Expérience de travail
Full stack Data Scientist
BimBamJob
oct. 2025 - mars 2026
6 mois
69340 Francheville, France
Instapro Group
mai 2021 - oct. 2025
4 ans 6 mois
Hybrid
Senior Data Scientist
juin 2024 - oct. 2025
1 an 5 mois
Hybrid
Data Scientist
mai 2021 - juil. 2024
3 ans 3 mois
69340 Francheville, France
Itaú Unibanco
juin 2018 - déc. 2019
1 an 7 mois
São Paulo, État de São Paulo, Brésil
Data Scientist
juin 2018 - déc. 2019
1 an 7 mois
São Paulo, État de São Paulo, Brésil
Support data-driven decisions from: – Regression models using deep learnings algorithms for table environment recognition; – Survival analysis algorithms for time frames forecasting; – Classification models using word embedding methods for text classification. Mentoring activities for Data Science career within Itaú Unibanco community.
Data Scientist Intern
juin 2018 - déc. 2018
7 mois
São Paulo, État de São Paulo, Brésil
Responsible for a time series analysis of high-frequency data in the stock market using generalized autoregressive conditional heteroskedasticity, GARCH, model. Responsible for the improvement of a deep learning model for a multi-class text classification task.
Formation
Instituto Tecnológico de Aeronáutica - ITA
Data Science Specialization, Data Science
2018 - Présent
8 ans 10 mois
Asigmo
Data Science
2020 - 2020
3 mois
This is an interactive Data Science Bootcamp of 8 weeks/320 hours of training following CRISP-DM methodology, where it covers business and data understanding, data preparation, modeling, evaluation, and deployment. Lab sessions permeate from the Agile methodology to handling tools for Trustworthy AI.
University of Oxford | Oxford Machine Learning Summer School (OxML)
Certificate program in Machine Learning
2020 - 2020
1 mois
The summer school provided the participants with the best-in-class training on a broad range of advanced topics in the core ML developments in domains such as Computer Vision and NLP, as well as topics such as Bayesian ML (incl. Gaussian Processes and DBNNs), Causal Inference in ML, Topological approaches in ML, Representation Learning, Transfer Learning, Reinforcement Learning, and Interpretability in ML with special focus on Healthcare/Medicine.
UFSCar - Alumni
Doctor of Philosophy - PhD, Condensed Matter and Materials Physics
2013 - 2017
4 ans 1 mois
Ohio University
Visiting Research Appointment, Physics
2016 - 2016
1 mois
Universidade Federal do ABC
Master's degree, Physics
2011 - 2013
2 ans 1 mois
Universidad del Valle (CO)
Bachelor's degree, Physics
2005 - 2011
6 ans 1 mois
Licences et certifications
Interactive Word Embeddings using Word2Vec and Plotly
Délivré le : juil. 2026
LLMOps: Building Real-World Applications With Large Language Models
Délivré le : mai 2025
Generative AI for Software Development
Délivré le : déc. 2024
DevOps on AWS: Release and Deploy
Délivré le : août 2024
Quick Reference: CI/CD
Délivré le : avr. 2021
Introduction to Deep Learning (with Honors)
Délivré le : juin 2020
MLflow: Managing the Machine Learning Lifecycle
Délivré le : mai 2020
ETL Part 2: Transformations and Loads
Délivré le : avr. 2020
ETL Part 1: Data Extraction
Délivré le : avr. 2020
Getting Started with Apache Spark SQL
Délivré le : avr. 2020