Angela Crepaldi

Data Scientist

https://www.opentalent.in/angela-crepaldi

Software Engineer | Python | Go | Django

uber

Key Strengths

Exposure to Python for data-related tasks (Scientific_Python, aws-datalake-dio)
Experience with Jupyter Notebook, relevant for data science workflows
Familiarity with cloud platforms (AWS, GCP Dataproc challenge)
Demonstrated interest in Big Data concepts

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of technologies (Java, Python, Go, HTML, CSS, JavaScript, Dockerfile, Makefile) and an interest in learning new areas (Stanford course, various personal projects). This indicates a proactive and curious mindset. However, the majority of projects are personal exercises, and the single listed professional experience as 'Data Scientist' at 'uber' with a future start date (2026-06-22) suggests a lack of current, verifiable professional experience in the target role. The breadth of technologies, while showing versatility, also suggests a potential lack of deep specialization in data science specific tools and methodologies beyond basic Python and cloud exposure. The target role 'Data Scientist' is aligned with some project themes, but the depth of experience is unclear.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

angelacpd.github.io

September 22, 2024 – April 15, 2025

My page

View Project

language-checklist

July 29, 2024 – July 29, 2024

language-checklist — repository

View Project

goexpert

November 27, 2023 – February 26, 2024

goexpert — repository

View Project

django-celery

January 3, 2022 – January 11, 2022

Django project with celery

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aws-datalake-dio

November 8, 2021 – November 8, 2021

Big data - cloud ecosystem - AWS - python

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dataproc-challenge

November 7, 2021 – November 7, 2021

Resultado do desafio "Criando um ecossistema Hadoop totalmente gerenciado com Google Cloud Platform"

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Java_Exercises

September 18, 2020 – September 18, 2020

Java_Exercises — repository

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Scientific_Python

July 17, 2020 – September 12, 2020

Stanford course about scientific python using python 3 on Jupyter Notebook.

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relatorio-excel

November 18, 2019 – November 18, 2019

Projeto que gera uma planilha em excel a partir de um banco de dados em MySQL e envia por e-mail como anexo. Exercício da displina de Engenharia de Software Orientada a Serviço. Ferramentas: Download Anypoint Studio 6.6 and Mule 3.9, Eclipse Java EE IDE for Web Developers, MySQL.

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CodeWizard

November 13, 2019 – March 16, 2020

Web development using web.py.

View Project

Key Strengths

Exposure to Python for data-related tasks (Scientific_Python, aws-datalake-dio)
Experience with Jupyter Notebook, relevant for data science workflows
Familiarity with cloud platforms (AWS, GCP Dataproc challenge)
Demonstrated interest in Big Data concepts

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Angela Crepaldi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit