プロフィール詳細

プロジェクトを作成

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Fernando R.に依頼

Brazil

Statistical Consultant | Data Scientist | Research, Clinical & Survey Analysis (R / Python / SPSS)

プロフィール概要

I am a data scientist and statistical consultant specializing in applied statistical analysis for research and data-driven projects. My work focuses on helping researchers, healthcare professionals and organizations transform complex datasets into reliable analytical insights. I have experience supporting projects involving survey data, experimental designs, multivariate analysis and statistical modeling. I provide consulting services across different stages of the analytical process, including methodological planning, statistical analysis and interpretation of results. Tools commonly used include R, Python and statistical modeling frameworks, like SPSS, JASP and Jamovi.

専門分野

• ★ R
• ☆ Biostatistics
• ☆ Statistics
• ☆ Survey Design
• ☆ Python
• ☆ SPSS
• ☆ SQL
• ☆ Tableau
• ☆ Econometrics

サービス

• Research
• Consulting
• Data & AI

Research Meta-Research, Feasibility Study, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis

職務経験

Lead Data Scientist (Consultant)

Farod Statistical Services

10月 2018 - 現在

Artificial Intelligence Engineer

Future Secure AI

1月 2026 - 3月 2026

Mid Level Data Analyst

Vibra Energia (Brazilian Oil & Gas Logistics)

5月 2025 - 1月 2026

Data Science Analyst

Accenture

9月 2021 - 9月 2024

学歴

MBA

Sirius School of Technology

4月 2024 - 4月 2025

MBA

EASE Brasil

8月 2021 - 10月 2023

Masters (Programa de Engenharia Biomédica)

Universidade Federal do Rio de Janeiro

3月 2018 - 12月 2020

Bachelor (Instituto Biomédico)

Universidade Federal do Estado do Rio de Janeiro

11月 2012 - 12月 2017

認定資格

• IBM Data Science Professional Certificate

  Cousera

  https://www.credly.com/go/HoWw9zYlGpXdbIL1RUk35g

  7月 2024 - 現在

出版物

CONFERENCE PAPER

(2020). Development of HIV-1 Coreceptor Tropism Classifiers: An Approach to Improve X4 and R5X4 Viruses Prediction . Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies.