Python (Pandas, NumPy, Plotly, Scikit-learn, TensorFlow etc)
R (Tidyverse, ggplot2, etc)
PostgreSQL/SQL (Joins, Indexes, Subqueries, etc)
Jupyter Notebook
GitHub
Excel (Advanced Formulas and Functions, Pivot Tables, etc)
Power Bi (Dashboards, DAX, Power Query, etc)
• Collaborate closely with the data team, developing strategies for efficient data collection, processing, and disposal.
• Manipulate extensive datasets, identifying patterns and enhancing decision-making processes.
• Analyze databases, such as SQL, to discover opportunities and areas for improvement.
• Manage and enhance processes, monitoring metrics and key performance indicators (KPIs).
• Actively work on designing, maintaining, and correcting coding errors.
• Contribute to the implementation of best practices and innovations in the role.
• Spearhead the construction of impactful dashboards that serve as powerful decision support tools.
• 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.
• Learning support for people on various undergraduate courses at UFES. In subjects such as probability, statistical inference, linear regression, python, R and machine learning.
• Computer Assembly and Maintenance.
• Technical Support.