Felipe S

@felipeasousa

Data Analyst

Brasil
Inglês, Português
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a Data professional with experience in Data Engineering, Data Analysis, and Machine Learning, developing end-to-end analytical solutions to support decision-making and operational efficiency. I have experience in different business contexts, always focused on building scalable data pipelines, predictive models, and results-oriented dashboards.... Saiba mais

Habilidades

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felipeasousa
Felipe S
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Consultoria em Engenharia de Dados
I will automate tasks with python, sql and data pipelines for your business
A partir deUS$ 15 /projetoMais detalhes
Painéis de dados
I will create a professional dashboard for your business
A partir deUS$ 40 /projetoMais detalhes

Portfólio

Experiência profissional

Aliant_Payments

Mid-Level Data Analyst

Aliant Payments • Período integral

Feb 2026 - Present • 3 mos

Main activities and achievements: ● Conducted retention and churn analysis based on user behavior and product usage ● Collected, processed, and analyzed large volumes of structured and unstructured data ● Developed and maintained scalable data pipelines and data warehouse solutions using Databricks, AWS (S3), and Python ● Built interactive dashboards and reports (Power BI and Databricks) to support data-driven decision-making ● Performed descriptive and predictive analyses to identify patterns, trends, and business opportunities ● Collaborated with product, engineering, and business teams to define metrics and KPIs ● Documented data processes, models, and sources to ensure traceability and reproducibility. Key Technologies: Python, SQL, Databricks, Power BI, Spark, Amazon S3.

AI_Vision Clinic

Lead Data Engineer & Scientist

AI Vision Clinic • Período integral

Jun 2025 - Dec 2025 • 6 mos

● Management and development of Data Lake and Data Warehouse (Amazon S3, Firestore, MongoDB, BigQuery, Supabase/PostgreSQL). ● Creation of Artificial Intelligence models for customer conversion and behavior analysis. ● Analysis of usage patterns and correlation between metrics and account bans on external platforms (WhatsApp/Meta). ● Database modeling for e-commerce environments and development of integrated APIs. ● Creation of dashboards and KPIs using Metabase to support business decisions. ● Development of technical documentation and user guides for data tools. ● Development and automation of ETL/ELT pipelines, integration with multiple data sources, and load monitoring using Azure Data Factory (ADF). Key tools: Python, SQL, TypeScript, Metabase, BigQuery, Firestore, MongoDB, Amazon S3, Azure Data Factory, Azure SQL Database.

Solugenix

Customer Success Analyst

Solugenix • Período integral

Jan 2025 - May 2025 • 4 mos

Main activities and achievements: ● Development of dashboards (Power BI, SQL) for monitoring performance and Customer Experience (CX) indicators. ● Creation of task automations to optimize internal and external processes (Python or VBA). ● Development of AI-based solutions for CX analysis and improvement. ● Strategic and analytical support in CX metrics and insights monitoring. Key tools: Power BI, SQL, Python, VBA.