Data-focused professional transitioning from Sales & Account Management into Analytics and Product/GT Strategy roles in fintech, tech, and consulting.
I work with Python, SQL, pandas, and data storytelling to transform raw data into clear business insights that support decisions in marketing, product, and commercial strategy.
I’m currently expanding my expertise in applied analytics for fintech, customer behavior, and digital products.
- Building a portfolio of real-world analytics projects (fintech, telecom, user behavior, revenue analysis).
- Developing dashboards and small web apps with Streamlit.
- Strengthening my SQL, statistics, and business analytics foundations.
- Studying for data-focused roles in product strategy, GTM, and commercialization.
Languages & Tools:
Python (pandas, NumPy, matplotlib, seaborn)
SQL
Jupyter Notebook
Streamlit
Git/GitHub
Basic statistical analysis & hypothesis testing
Areas of Interest:
Customer analytics, product analytics, revenue insights, fintech strategy, churn & retention, marketing optimization, forecasting.
Interactive web app to explore and visualize vehicle data. Includes data cleaning, filtering, and insights through Streamlit.
Business-focused analysis comparing two prepaid plans to understand profitability and guide marketing investment.
Explores usage patterns by weekdays and cities to help optimize marketing and operations.
Identifies success factors in game performance across regions, platforms, and genres.
LinkedIn: https://www.linkedin.com/in/thais-paulino-9942a260/
GitHub: github.com/thaispaulino
If you'd like to discuss data projects, product analytics, or fintech strategy, feel free to reach out.