Felipe Fernandes Lopes, Developer in São Paulo, Brazil
Felipe is available for hire
Hire Felipe

Felipe Fernandes Lopes

Verified Expert  in Engineering

Data Scientist and Developer

São Paulo, Brazil

Toptal member since December 16, 2022

Bio

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

Uber
Artificial Intelligence (AI), Data Science, Data Engineering, Analytics...
Vixtra
Python, Test-driven Development (TDD), Scikit-learn...
Nuveo
Python, TensorFlow, Deep Learning, Test-driven Development (TDD), Docker...

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

Part-time

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

2023 - PRESENT
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.
Technologies: Artificial Intelligence (AI), Data Science, Data Engineering, Analytics, Excel 365, Software Development, Machine Learning, Business Intelligence (BI), Microsoft Excel

Data Scientist | Founding team

2021 - PRESENT
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.
Technologies: Python, Test-driven Development (TDD), Scikit-learn, Artificial Intelligence (AI), Microsoft Power BI, Time Series, Data Analysis, Data Engineering, Data Science, Python 3, Forecasting, Machine Learning, Data Analytics, Data Wrangling, Statistics, Jupiter, SQL, Amazon Web Services (AWS), Classification Algorithms, Tableau, Amazon Machine Learning, Amazon S3 (AWS S3), Amazon QuickSight, Data Reporting, Data Visualization, Finance, ETL, ETL Tools, Dashboards, Statistical Modeling, Cloud, Data Scientist, Data Cleansing, Data Modeling, Data Preparation, Data Pipelines, Excel 2013, Microsoft Excel

Junior Computer Vision Data Scientist

2019 - 2021
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.
Technologies: Python, TensorFlow, Deep Learning, Test-driven Development (TDD), Docker, Python 3, Data Science, Machine Learning, Classification Algorithms, Data Scientist, Data Modeling, Data Preparation, Classification

Experience

Cross-sell Prediction

https://github.com/FelipeFLopes/cross-sell-prediction
An analysis and model to predict the cross-sell between health and car insurance. In this project, I had to understand what were the primary drives behind the purchase of car insurance and also develop a model that would predict the clients that would acquire car insurance.

Education

2018 - 2021

Master's Degree in Computer Engineering

Federal University of Rio Grande do Norte - Natal, State of Rio Grande do Norte, Brazil

2012 - 2018

Bachelor's Degree in Computer Engineering

Federal University of Rio Grande do Norte - Natal, State of Rio Grande do Norte, Brazil

2014 - 2015

Visiting Student in Electrical Engineering

University of Leeds - Leeds, UK

Certifications

OCTOBER 2021 - PRESENT

Nanodegree Program in Computer Vision

Udacity

JANUARY 2021 - PRESENT

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

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring