Fernanda G.
Data Analyst

Skills

Qlik Sense

Sql

Github

Microsoft Excel (Advanced Analytics Add-ons)

Python

Salesforce

Jira

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Bio

Data Specialist and current doctoral scholarship holder with five years of experience in the data field, encompassing roles such as analyst, scientist, and specialist. Holds a bachelor's degree in Business Administration and a Master's degree in Electrical Engineering, and is currently pursuing a Ph.D. in Electrical Engineering. Demonstrates the capability to distill demands from both technology and business sectors for the development of innovative products or services. Proficient in statistics and experienced in dashboard creation, data processing, and agile methodology.

Exhibits an analytical and multitasking profile that supports the objective development of tasks while fostering creativity to understand interdependencies between various areas. Leadership skills are evident in the ability to autonomously develop new projects, including the implementation of a pilot plan for eye-tracking on a company website. This tool enabled leaders to observe user behavior, revealing a tendency to leave the site due to excessive text.

Additionally, possesses proficiency in ETL, Power BI, Python, Qliksense, SQL, Salesforce, and Agile Methodology.

Researcher
12/1/2022 - Present

Developed expertise in identifying deepfake patterns using data science methodologies. Led undergraduate students in the execution and completion of their research projects, guiding them through complex technical tasks. Assisted in the teaching of pattern recognition classes, ensuring a solid educational foundation for students. Utilized Python for image analysis, particularly leveraging image processing techniques such as the Sobel filter. Applied statistical analysis methods, including Principal Component Analysis (PCA) and Multiple Linear Discriminant Analysis (MLDA), to enhance the accuracy and effectiveness of pattern recognition and data interpretation.
Data Specialist
4/1/2021 - 9/1/2022

Developed and enhanced expertise in descriptive analysis to contribute to the creation of innovative products and services in the car subscription sector. Leveraged open data to extract valuable insights, driving business strategies and operational decisions. Delivered engaging training sessions for managers and operators on the metaverse, ensuring preparedness for future technological advancements. Played a critical role as a key user in a Salesforce project, effectively bridging the communication between operational teams, business leaders, and Technology Product Owners. Created compelling visualizations and dashboards using QlikSense and Power BI, aiding in data-driven decision-making. Achieved significant improvement in website user experience by implementing eye-tracking technology; identified that customers were struggling to find information, leading to decreased interest in the vehicle purchase process.
Researcher
6/1/2020 - 5/1/2021

Executed predictive analysis and non-parametric statistical testing of eye-tracking results using Python. Conducted exploratory and descriptive literature analysis, leading to the publication of articles in national and international conferences. Utilized the Tobii TX 300 for eye-tracking experiments, and employed Python for data extraction, mining, processing, and statistical analysis.
Junior Analyst
7/1/2019 - 10/1/2019

Engaged in predictive analysis projects within the Data Science division at an international financial institution. Extracted key predictive variables for Machine Learning models using Python, facilitating statistical analysis, data extraction, mining, processing, and analysis. Utilized GitHub for code review and collaboration. Organized projects using Agile methodology and Jira software. Demonstrated proficiency in Python and its libraries, as well as adhered to collaborative development practices with version control systems. Showcased skills in data analysis, Machine Learning, and project management within a financial services context.