Summary
Overview
Work History
Education
Skills
Websites
Age
Extra Experience
Programming Proficiency
Areas Of Knowledge
Birthdate
Accomplishments
Certification
Languages
Work Availability
Quote
Timeline
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Felipe Gabriel

Felipe Gabriel

Florianópolis

Summary

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Financial Markets and DeFi.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Scientist

Zaros Finance
05.2023 - 09.2023
  • Utilized advanced querying, visualization (Plotly, Seaborn) and analytics (Stramlit) tools to analyze and process complex data sets.
  • Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations.
  • Identified, measured and recommended improvement strategies for KPIs across business areas.
  • Analysis of derivatives market through onchain metrics and research


Freelance Web Developer

TD Business
Florianópolis, SC
05.2023 - 08.2023
  • Implemented dashboards on streamlit to map data concerning legislation, news and job opportunities in Brazil.
  • Validated third-party code to comply with internal standards and technical requirements.
  • Ran debugging tools to eliminate flaws and glitches prior to publishing.

Jr Data Scientist

Kassandra Finance
03.2022 - 10.2022
  • Development of fundamental, quantitative, and sentiment analysis indicators, as well as the use of these indicators in trading strategies and backtesting focused mainly on DeFi (Decentralized Finance).
  • Discovered stories told by onchain data (Web3.py) of our customers to present information to scientists and business managers.
  • Data science and visualization (Seaborn/Plotly/Matplotlib)
  • Portfolio modeling and strategies for product launches
  • Statistics and econometrics (Statsmodel)

CTO and Content Writer

DeFi Force
06.2021 - 01.2022
  • Development of market reports focusing on decentralized finance (DeFi)
  • Web scraping online data (Selenium/Requests/BeautifulSoup) to formulate KPIs.
  • Creation of investment strategies, portfolio analysis, and quantitative indicator analysis.
  • Developed strong organizational and communication skills through coursework and volunteer activities.

Data Science Intern

Wise&Trust
New York, NY
01.2020 - 12.2021


  • Created data visualization graphics, translating complex data sets into comprehensive visual representations (Matplotlib/Seaborn).
  • Market analysis through machine learning techniques (Sklearn/Keras)
  • Portfolio models and strategies for Algorithmic trading in stocks, cryptocurrencies (including DeFi), metal and energy commodities, and bonds.
  • Statistics and econometrics (statsmodel)
  • Development of fundamental, quantitative, and sentiment analysis indicators, as well as the use of these indicators in trading strategies and retroactive testing using Pandas and Numpy


Researcher Intern

UFSC
Florianópolis, SC
07.2017 - 07.2018
  • Performed research into functional analysis and fractional calculus focusing on Caputo and Riemann-Liouville derivatives to increase knowledge and to provide valuable contributions.

Education

Bachelor's in Mechanical Engineering -

UFSC
01.2023

Data Scientist in Python -

Data Quest
02.2021

Machine Learning A-Z: Become Kaggle Master -

Udemy
01.2020

Skills

  • Jupyter Notebook
  • Statistical Analysis (pandas, numpy, statsmodel)
  • Advanced Mathematical Abilities
  • Machine Learning (Sklearn, Keras)
  • Dashboard Creation (Streamlit)
  • Visualization Techniques (Plotly, Seaborn, Matplotlib)
  • Dimensionality Reduction (PCA)
  • Regression Algorithms (Linear, logistic, Random Forest)
  • Time Series Forecasting (Prophet, ARIMA)

Age

26 years

Extra Experience

Finalist in the 2nd Edition of the Datathon Cryptocurrency Data Challenge at FGV (Fundação Getúlio Vargas), 2021/11, Conducted a market analysis of Bitcoin using sentiment analysis of social media data through Natural Language Processing (NLP). Employed Regex for cleaning and manipulation of Twitter tweets, followed by extracting sentiment polarity using the TextBlob module. After creating a time series of this indicator, a hypothesis test was conducted using the Statsmodel library for Granger causality matrix calculation., https://www.youtube.com/watch?v=1IjKpLpdsJY, https://portaldobitcoin.uol.com.br/quais-sao-os-tres-projetos-de-criptomoedas-que-venceram-o-desafio-de-dados-da-fgv/

Programming Proficiency

Python, SQL.

Areas Of Knowledge

  • Statistics
  • Finance
  • Programming
  • Linear Algebra
  • Multivariable Calculus
  • Complex Variable Calculus
  • Fractional Calculus
  • Solid Mechanics
  • Machine Learning
  • Thermodynamics

Birthdate

07/30/1997

Accomplishments

  • Collaborated with team of 5 in the development of Sentiment Analysis Project in national hackaton obtained 3rd place.

Certification

  • Data Scientist in Python, Data Quest - 2021/2
  • Machine Learning A-Z: Become Kaggle Master, Udemy - 2020/1

Languages

English
Bilingual or Proficient (C2)
Portuguese
Bilingual or Proficient (C2)

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

You only have to do a few things right in your life so long as you don’t do too many things wrong.
Warren Buffett

Timeline

Freelance Web Developer

TD Business
05.2023 - 08.2023

Data Scientist

Zaros Finance
05.2023 - 09.2023

Jr Data Scientist

Kassandra Finance
03.2022 - 10.2022

CTO and Content Writer

DeFi Force
06.2021 - 01.2022

Data Science Intern

Wise&Trust
01.2020 - 12.2021

Researcher Intern

UFSC
07.2017 - 07.2018

Bachelor's in Mechanical Engineering -

UFSC

Data Scientist in Python -

Data Quest

Machine Learning A-Z: Become Kaggle Master -

Udemy

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Felipe Gabriel