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Carlos Fonseca

Data Analyst/Data Scientist

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About Me

I am a mechanical engineer specialized in production management and passioned for data and the insight it can provide towards decision supporting.
I am currently working at HeiQ as a Data Scientist/Analyst using mainly Tableau, Python and Google Cloud Platform.
My professional background is mainly industrial in glass packaging production, distribution and plastic injection industries.
My main passions are traveling, reading, surf and cooking.

Experience

HeiQ

Data Scientist

Integration of several data sources on a stared schema db data warehouse on Google Cloud Platform and provide insights and visualizations using Tableau and Python.

DareData Engineering

Data Scientist

Integration of a specific DS project for a Portuguese client in the production/retail segment, aimed to find strategies to increase sales in the Portuguese market.

Polisport Group

Shift Supervisor

Production team management and responsibility for the KPIs of the shift.

Herfri

Maintenance Manager

Maintenance Department Management including technical teams, department spare parts inventory, reporting and invoicing.

BA Glass

Production Planner

Production planning and kpi monitorization for medium and short term in several plants of the group.

Education

Lisbon Data Science Starters Academy

Mar 2020 - Mar 2021

Data Science

Main skills acquired: Python, Data Wrangling, Recommenders Systems, Machine Learning, Data Visualization, Natural Language Processing, Capstone Project

Faculdade de Engenharia - Universidade do Porto

2003 - 2011

BSc + MSc in Mechanical Engineering with specialization in Production Management

Projects

Crypto: Predictive Model

This project aims to develop a predictive model for crypto coins market values. It implied the exploration of several APIs, the use of a Random Forest regressor and Hyperparameter tuning.

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Capstone: Predictive Model

This project had the objective of developing a model to help the UK Department of Police to determine when they should stop/search subjects by balancing the Precision / Recall tradeoff while eliminating discrimination across ethnic groups and genders. The model was delivered as a REST Api ready to be used by the client, deployed on Heroku http server and built with Flask.

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Terraform

This project had the objective of training infrastructures as code, with Terraform. It provisions a basic virtual infrastructure on AWS which consists in a VPC with a private RDS accessible only by the EC2 instance. The EC2 is accessible by http, https and ssh.

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Covid19 in Portugal with Bokeh

This project had the objective of practicing data visualizations, as well as be an introduction to Bokeh. Considering it was built in April 2020 and Covid19 data was a trendy subject with good data sources, it was the chosen theme.

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Skills

  • Python
  • SQL
  • Data Wrangling
  • Machine Learning
  • Git
  • Tableau

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