About Me - Felipe Nunes Menegotto

Data analyst

Felipe Menegotto

I am a Physics graduate with a specialization in Physics Education and an international Master’s degree in Science Communication from the University of Lisbon, ranked among the world’s top 200 universities. I began my career as a Physics teacher in traditional schools, developing strong analytical thinking, problem-solving, and communication skills. After living and working in Portugal, Greece, and Poland, I gained extensive multicultural experience and advanced English proficiency. I am currently migrating into data analysis, leveraging my quantitative background, Python skills, and experience in translating complex information into clear insights for diverse audiences.

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What I Do

Extract

I have hands-on experience using Python to scrape data from the web and extract, clean, and analyze large datasets. I am proficient in SQL and Google BigQuery, enabling me to query, manage, and interpret data from large databases efficiently to support data-driven decision-making.

Data into Insights

I transform complex datasets into clear, meaningful insights through effective data visualization. By combining analytical rigor with strong storytelling skills, I create charts and dashboards that highlight patterns, trends, and opportunities, enabling stakeholders to make informed, data-driven decisions with confidence.

Transform

I have experience performing data transformation using Python, including cleaning, structuring, and preparing raw datasets for analysis. I work with libraries such as pandas and NumPy to handle missing values, standardize formats, merge datasets, and create derived variables.

Self-Driven Problem Solver

I am a problem-oriented and self-driven learner who actively seeks the best tools and approaches to solve challenges. I adapt quickly, explore new technologies, and combine analytical thinking with practical solutions, using all available resources to deliver efficient, reliable, and impactful results.