Ana Silva

Data Scientist

https://talent.gravityer.com/ana-silva

São Paulo, São Paulo, BrazilMember since June 24, 2026

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Exposure to Docker and Shell scripting, indicating some understanding of deployment and environment management.
Experience with Jupyter Notebook, a common tool for data exploration and analysis.
Projects like 'f1_multi_agent' and 'subjectLineOptimizer' suggest an interest in AI/ML applications, relevant to a Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and cover a range of technologies including Python, Java, and JavaScript. While there's a focus on Python which aligns with Data Scientist roles, the diversity also suggests a broad interest rather than deep specialization. The lack of professional experience makes it difficult to assess cultural fit in a team or corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

refund-governance-demo

June 23, 2026 – Present

refund-governance-demo — repository

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subjectLineOptimizer

May 7, 2026 – Present

subjectLineOptimizer — repository

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creative-dam

April 11, 2026 – Present

creative-dam — repository

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google-poc

February 21, 2026 – Present

google-poc — repository

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tyre-agent-latency

October 19, 2025 – October 19, 2025

tyre-agent-latency — repository

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f1_multi_agent

August 31, 2025 – September 16, 2025

f1_multi_agent — repository

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ms-error-tracker----POS-TECH-FIAP

July 16, 2025 – July 21, 2025

Microsserviço de tratamento de erros do SimplificaRNDS - Tech Challenge - POS-TECH FIAP 2025

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postech-reserva-restaurantes

March 4, 2025 – March 26, 2025

Repositório para o Tech Challenge 3 da Pos Tech FIAP - Arquitetura e Desenvolvimento Java.

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gantt-plotter

January 26, 2025 – September 9, 2025

gantt-plotter — repository

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dqx-study

January 21, 2025 – March 4, 2025

dqx-study — repository

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Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Exposure to Docker and Shell scripting, indicating some understanding of deployment and environment management.
Experience with Jupyter Notebook, a common tool for data exploration and analysis.
Projects like 'f1_multi_agent' and 'subjectLineOptimizer' suggest an interest in AI/ML applications, relevant to a Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

Ana Silva

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit