Analista de dados

• Jul 2023 - Present

Data Analyst | Server Monitoring | Power BI | Python Automations

• Mar 2021 - Jul 2023

I am a Data Analyst with two years of solid experience in efficient server monitoring and data visualization solutions using tools like Power BI and Excel. I am passionate about extracting valuable insights from large volumes of data and optimizing processes through Python automation. Professional Experience: • Implemented advanced monitoring strategies to ensure server performance, availability, and security. Utilized tools like Power BI and Excel to create interactive dashboards and customized reports, providing clear and actionable insights to stakeholders. • Developed Python automations to streamline data collection, processing, and analysis, reducing the time required to generate reports and increasing operational efficiency. • Conducted exploratory data analysis to identify patterns, trends, and anomalies, assisting in strategic decision-making. • Documented processes, workflows, and standard operating procedures (SOPs) to ensure consistency and knowledge sharing. Achievements and Contributions: • Created a customized dashboard in Power BI to monitor key performance metrics of servers, resulting in faster issue detection and reduced downtime. • Developed an automated reporting system using Python and Excel, which reduced the time required to create and distribute reports to stakeholders by 50%. Technical Skills: • Server Monitoring: Monitoring tools, Grafana, Nagios • Data Visualization: Power BI, Excel • Automation: Python • Data Analysis: Python, R, Excel • Python Libraries: Pandas, Numpy, SKlearn, OpenCV2, Matplotlib Show less

Data Scientist | Automation | Insights

• May 2022 - May 2022

The client set goals for the development of software capable of compressing the present logs, removing them after 60 days and performing an automated backup. The development was carried out using Python and other libraries. However, the project presented some challenges, such as the use of new libraries, the need to manipulate data in the files and the creation of new metrics to guarantee the installation of non-standard Python libraries. To overcome these challenges, the following Python libraries were used: os, pip, glob, zipfile, time, sys and datetime, among others. Skills involved in this project include Python skills, data modeling, software development. Show less