Caio M. Profile

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(1 review)

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$20 USD / hour

state of maranhão,

brazil

$20 USD / hour

It's currently 9:28 PM here

Joined October 21, 2021

0 Recommendations

Caio M.

@cmanfeed

0.0

(1 review)

0.0

100%

$20 USD / hour

state of maranhão,

brazil

$20 USD / hour

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Data Scientist | Data Engineer | Generative AI

I'm a developer with a bachelor's degree in computer science and a postgraduate degree in data science in progress. I have experience working with data in the areas of data science, data engineering and data analysis, mainly using Python in my implementations. I currently work as a data scientist (chatbots, data manipulation and extraction) in a multinational company, working remotely. In addition to professional aspects, I am a musician and lover of the seventh art.

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0.0

$25.00 USD

Python Project + Google Docs connection

The project is not completed according to the dispute

PHP

JavaScript

Python

Software Architecture

David M.

@Davimotion

•

3 years ago

Experience

K2 Partnering Solutions

Sep 2023 - Present

• Development of an enterprise chatbot utilizing Python, Google Cloud, and OpenAI's cutting-edge AI Generative technology. • Crafting robust APIs with Flask and Salesforce integration to seamlessly retrieve and leverage valuable data, enhancing decision-making processes and driving business growth. • Pioneering the creation of sophisticated algorithms to automate tasks through advanced data extraction, manipulation, and categorization techniques.

Novatics

Jun 2022 - Dec 2022 (6 months, 2 days)

• I worked as a data engineer on an international team for the company appen. • I was responsible for building and maintaining data pipelines created with python scripts in the AWS environment (EC2, S3). • We use python, pandas and numpy for data manipulation, and sqlalchemy for connections and loading databases.

SenseData

Sep 2021 - May 2022 (8 months, 2 days)

• Worked in the data integration area, obtaining information from various sources (APIs, sheets, various databases) and loading it into the Sensedata platform. • In this project I used the following technologies: python, flask, pandas, numpy, requests, sqlalchemy, apache airflow and sql. • Performed SQL queries to obtain business responses.