Personal details

Fernando F. - Remote

Fernando F.

Timezone: Eastern Time (US & Canada) (UTC-4)

Summary

I enjoy to mentor tech/data people and have been doing so for many years in a corporate environment. Now we can do it here! Book an hour section for free - it will expire soon⚡

Currently working remotely as a data manager at a big fintech in Brazil. I have more than 11 years of experience in data science, analytics, artificial intelligence, and software engineering. My master's degree focused on applying machine learning in a game analytics context. Delivered data-driven value in the following business contexts:

  • Finance
  • E-commerce & Marketplace
  • Sales & Marketing
  • Consumer Packaged Goods (CPG)
  • Food & Beverage Logistics
  • And so on

I have led, designed and developed many projects using technologies such as:

  • Software and cloud architectures
  • Web services
  • Web scraping/crawlers
  • Data pipes and repos (entity-relationship model, data warehouse, datalake)
  • Machine learning pipes
  • Product recommendation platforms
  • Text mining and NLP automation
  • Computer vision automation (object classification, recognition, etc.)
  • Customer profiling/clustering

I am here to share my knowledge and help you elevate your skills. So, let's begin!

Work Experience

Data Science & Analytics Manager
PicPay | Jun 2021 - Present
Python
Machine Learning
Statistics
NLP (Natural Language Processing)
Apache Spark
Recommender Systems
CI/CD
MLflow
Act as a tech manager to create data-driven products and services to improve user and employee experience at PicPay's. Projects: Recommender systems, NLP models, Analytics.
Data Scientist Specialist
Neoway | Aug 2019 - Jun 2021
Python
Machine Learning
Statistics
Google Cloud Platform
Apache Spark
Recommender Systems
Agile
CI/CD
CatBoost
Feature store
Act as a tech lead in the Sales & Marketing area to develop data products that support the customers’ strategic decisions to optimize the sales funnel and marketing mix strategies. Projects: Customer look-alike, lifetime Value, product recommendation.

Personal Projects

Profiling Successful Team Behaviors in League of LegendsIconOpenNewWindows
2017
Python
Machine Learning
Clustering
In this paper, we identify and characterize team behavior patterns based on historical matches from the very popular eSpor League of Legends web API.
Financial fraud detectionIconOpenNewWindows
2019
Python
CatBoost
CRISP-DM
Pyod
The objective of this machine learning model is to detect fraudulent transactions in the financial services sector.