Lorena Calaça Ferreira

Data Scientist

https://www.opentalent.in/lorena-calaca-ferreira

Front-End Developer

olist

Key Strengths

Experience in Data Scientist role at Olist (current, though start date is in the future, indicating potential future role or data entry error).
Exposure to data analysis through the 'ndfdsi-investigate-a-dataset' project, specifically using Jupyter Notebook for descriptive statistics on the Titanic dataset.
Proficiency in JavaScript, HTML, and CSS, indicating a strong foundation in web technologies which can be beneficial for data visualization or web-based data applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly focused on front-end web development (React, PWA, classic arcade games) and general JavaScript applications. While there is one data analysis project, the overall portfolio does not strongly align with a dedicated Data Scientist role, suggesting a potential mismatch in project focus for the target role. The listed experience as 'Data Scientist' at 'olist' is a strong positive, but the future start date (2026) makes it difficult to assess current practical experience in this specific role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

plataforma-sabia

March 5, 2020 – November 12, 2024

🐦 A Plataforma de Tecnologias do Semi-Árido Brasileiro 🌴

View Project

gympoint-mobile

December 22, 2019 – December 10, 2022

Gym client app made with React Native

View Project

gympoint-web

December 4, 2019 – December 11, 2022

Gym manager Single Page Application made with React

View Project

gympoint-api

October 16, 2019 – December 22, 2022

Gym manager app RESTful API made with Node.js and Express

View Project

todos

September 12, 2019 – January 7, 2023

Todo app fully based on JS and MERN

View Project

ndfdsi-investigate-a-dataset

November 1, 2018 – November 8, 2018

Análise de dados do naufrágio do navio Titanic por meio de computação de estatística descritiva

View Project

feand-neighborhood-map-react

April 11, 2018 – November 30, 2018

PWA made with React, Google Maps, service workers, accessibility, etc.

View Project

feand-restaurant-reviews

April 4, 2018 – April 4, 2018

Accessible website with web worker.

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fend-pixel-art-maker

December 2, 2017 – December 11, 2017

Pixel art maker project for Udacity's Front End Nanodegree.

View Project

fend-arcade-game

October 24, 2016 – April 25, 2018

Classic arcade game clone.

View Project

Key Strengths

Experience in Data Scientist role at Olist (current, though start date is in the future, indicating potential future role or data entry error).
Exposure to data analysis through the 'ndfdsi-investigate-a-dataset' project, specifically using Jupyter Notebook for descriptive statistics on the Titanic dataset.
Proficiency in JavaScript, HTML, and CSS, indicating a strong foundation in web technologies which can be beneficial for data visualization or web-based data applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

Lorena Calaça Ferreira

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit