Hello :) My name is Nayara, I am a highly committed professional with a passion for Data! I have developed and honed my skills in data extraction, cleaning, processing, analysis and report. My experience includes creating dashboards, implementing machine learning models, conducting hypothesis testing, and applying statistical and probabilistic methods. Additionally, I have hands-on experience in data engineering using Apache Airflow, and in processing large datasets with PySpark in personal projects, I am also knowledgeable in data lake and data warehouse technologies, further enhancing my ability to manage and analyze complex data environments. My goal is to continue studying data science, data engineering, and artificial intelligence to become a well-rounded data professional.
Hands-on, analytical, communicative and leadership spirit!
These are my skill levels in learning progress:
These are the main experience gain points and titles I've earned during my journey to date...
September, 2024 - Present
As a member of the data team at KPMG, I utilize the following technologies: Python, Azure DevOps,OOP (Object-Oriented Programming), SQL (SQL Server, SQLite), Power BI (DAX and M), Excel, Figma, GIT, ETL, RPA (Selenium, BeautifulSoup, reCaptcha V2 and V3 resolution, and image handling using the Anti Captcha API for web scraping), and Low Code (Browse.AI), working on projects for clients such as Mercado Livre, Solví, Vivo Telefônica, and Intercement.
September, 2023 - October, 2024
References:
SEO Coordinator: Fernanda Aparecida - Linkedin: https://www.linkedin.com/in/fernanda-aparecida-s/
As a member of the Data team for the SEO department, I played an active role in projects focused on data collection through crawlers and APIs, report automation, dashboard development, and proposing data-driven solutions.
I performed maintenance, execution, and development of robotic algorithms for data extraction from more than 20 clients, including Samsung, Vivara, Carrefour, Smiles, and R7. I was also responsible for maintaining and developing descriptive dashboards in Looker Studio, highlighting the main KPIs of Google Analytics 4, Google Search Console, Ahrefs, and Semrush.
I developed and optimized ETL processes (Extraction, Transformation, and Loading) to extract and consolidate data from various APIs such as Ahrefs and Google Search using Python. Additionally, I developed Bash scripts and a task scheduler for automating executions. To improve the performance of Python scripts, I employed parallelism techniques with threads, optimizing the execution time of data processing tasks. I also implemented and orchestrated data pipelines with Apache Airflow, creating DAGs to automate ETL processes and other data management tasks, ensuring efficient execution to replace less efficient existing solutions.
These are some projects I developed during my study journey, feel free to make suggestions or chat with me :)