
Felipe Fernandes Lopes
Verified Expert in Engineering
Data Scientist and Developer
São Paulo, Brazil
Toptal member since December 16, 2022
Felipe has a background in academia which helps him during the research and development of deep learning models. Combined with his knowledge of Python and ML libraries such as TensorFlow, business intelligence (BI) is a significant part of his interests. He has experience using tools such as Looker, Tableau, and Microsoft Power BI. For Felipe, science goes hand in hand with the engineering aspects. For that reason, he always looks at ways to use the best software development practices.
Portfolio
Experience
- Python - 3 years
- Machine Learning - 3 years
- Artificial Intelligence (AI) - 3 years
- Test-driven Development (TDD) - 3 years
- Data Engineering - 3 years
- Microsoft Power BI - 2 years
- Data Analysis - 1 year
- Scikit-learn - 1 year
Availability
Preferred Environment
Slack, Visual Studio Code (VS Code), Linux, Skype, Zoom, Google Meet
The most amazing...
...experience I've had is performing a literature review and implementing an OCR engine using deep learning that reduced the cost with third-party OCRs by 20%.
Work Experience
Automation & Analytics Manager
Uber
- Created a Source of Truth (SoT) for communications data using SQL, Excel, and Python to give insights to senior leadership on how effective we were in targeting users and engaging them in using our services.
- Created an automation to send targeted offers to users in Latam, saving 15 hours of work weekly from the team and improving our CT.
- Used LLMs and data gathering from social media to create messages from trending topics in cities in Latam, boosting our click rate for push messages.
Data Scientist | Founding team
Vixtra
- Analyzed over 20 years of data to improve a lead time time-series forecasting model; developed a machine learning model that improved the prediction by 50%.
- Benchmarked the leading business intelligence (BI) such as Looker, Tableau, and Power BI tools on the market and created the first reports in the company.
- Implemented software development best practices such as CI/CD pipelines, test-driven development (TDD), and code quality analysis for the data department.
Junior Computer Vision Data Scientist
Nuveo
- Researched the literature and implemented a deep learning OCR model responsible for reducing the company's cost with third parties OCRs by 20%.
- Applied best practices to ensure high-quality code, such as TDD, to improve test coverage to over 90%.
- Worked with the city council to develop an algorithm that detected how crowded areas of the city were and the number of people using masks during the COVID-19 pandemic.
Experience
Cross-sell Prediction
https://github.com/FelipeFLopes/cross-sell-predictionEducation
Master's Degree in Computer Engineering
Federal University of Rio Grande do Norte - Natal, State of Rio Grande do Norte, Brazil
Bachelor's Degree in Computer Engineering
Federal University of Rio Grande do Norte - Natal, State of Rio Grande do Norte, Brazil
Visiting Student in Electrical Engineering
University of Leeds - Leeds, UK
Certifications
Nanodegree Program in Computer Vision
Udacity
Project Management Full Stack - PMF
Escola DNC
Skills
Libraries/APIs
Scikit-learn, Pandas, TensorFlow, PyTorch, Matplotlib, NumPy
Tools
Microsoft Power BI, Excel 2013, Microsoft Excel, Seaborn, Tableau, Amazon QuickSight
Languages
Python, Python 3, C++, SQL
Paradigms
Test-driven Development (TDD), ETL, Six Sigma, Business Intelligence (BI)
Platforms
Amazon Web Services (AWS), Linux, Docker
Storage
Data Pipelines, Amazon S3 (AWS S3)
Industry Expertise
Lean Six Sigma
Other
Artificial Intelligence (AI), Machine Learning, Data Analysis, Data Science, Data Scientist, Excel 365, Data Engineering, Mathematical Modeling, Data Analytics, Data Wrangling, Statistics, Classification Algorithms, Data Reporting, Data Visualization, Data Cleansing, Data Modeling, Data Preparation, Classification, Embedded Systems, Control Systems, FPGA, Digital Signal Processing, Deep Learning, Time Series, Lean Project Management, Forecasting, Jupiter, Amazon Machine Learning, Finance, ETL Tools, Dashboards, Statistical Modeling, Cloud, Analytics, Software Development
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