Welcome! My name is

Luiz Felipe

Data Scientist Data Analyst



















Tech Skills

Python

Python (Pandas, NumPy, Plotly, Scikit-learn, TensorFlow etc)

R

R (Tidyverse, ggplot2, etc)

PostgreSQL

PostgreSQL/SQL (Joins, Indexes, Subqueries, etc)

Jupyter

Jupyter Notebook

GitHub

GitHub

Excel

Excel (Advanced Formulas and Functions, Pivot Tables, etc)

Excel

Power Bi (Dashboards, DAX, Power Query, etc)

















Skill Sets

Statistics

Math and Statistics

  • ♦ Stochastic Processes
  • ♦ Statistical Inference
  • ♦ Nonparametric Statistics
  • ♦ Hypothesis Testing
  • ♦ Regression Analysis
  • ♦ Multivariate Analysis
  • ♦ Exploratory Data Analysis (EDA)
  • ♦ Probability Theory
  • ♦ Linear Algebra
  • ♦ Calculus
Machine Learning

Machine Learning

  • ♦ Algorithms (Logistic regression, Random Forest, SVM, Gradient boosting, etc)
  • ♦ Cross-validation
Data Engineering

Data Engineering

  • ♦ SQL (Filtering, Joins, TimeStamp manipulation, Functions, Group By, Window functions, Views, Subqueries, query optimization with indexes, etc)












Work experience

  • Jan 2024 - Present

    Data Analyst - Skallar Digital

    • Structured and currently manage the entire data infrastructure of the company using Google Cloud Platform (GCP), with a focus on automation and scalability.

    • Develop automated data pipelines using Cloud Functions, VMs, and Cloud Run to collect data via APIs, web scraping, and webhooks.

    • Design and maintain BigQuery datasets, writing complex SQL queries and creating models to merge data across departments.

    • Build interactive and customized dashboards in Power BI, Looker, Metabase, and Dash (Python) to support strategic decision-making.

    • Integrate and monitor marketing data from platforms like Facebook Ads, Google Ads, and SendGrid, focusing on performance and conversion tracking.

    • Apply data science and NLP techniques using Python, including supervised models and text analysis with spaCy to solve business problems.

    • Operate across data analysis, engineering, and science, serving as the sole data professional responsible for the entire data ecosystem of the company.

  • Jul 2022 - Present

    Data Science and Analytics Freelancer

    • Collection of relevant data from various sources, including databases, APIs, CSV files, spreadsheets and the web, with data scraping (Selenium, Scrapy, BeautifulSoup).

    • Data cleaning in general, such as handling missing values, removing duplicates, normalizing data and converting formats to ensure data quality and integrity.

    • Exploratory Data Analysis (EDA) to understand the distribution of data, identify trends, outliers and relevant patterns using statistical techniques and data visualization.

    • Building of statistical and machine learning models to make predictions, classifications, segmentations or other advanced analyses, depending on the objectives of the project.

    • Creating informative graphics and visualizations to communicate results and insights clearly and effectively.

  • Mar 2021 - Jun 2022 · 1 yr 4 mos

    Statistics and Probability Academic Monitor

    • Learning support for people on various undergraduate courses at UFES. In subjects such as probability, statistical inference, linear regression, python, R and machine learning.

  • Jan 2014 - Jan 2017 · 3 yr

    IT Support and Part-Time Student

    • Computer Assembly and Maintenance.

    • Technical Support.