I'm a Junior Data Analyst with a background in Clinical Psychology and over five years of experience in coordinating key populations, especially individuals affected by HIV/AIDS. My expertise lies in handling, cleaning, and visualizing data to provide insights that support decision-making processes. I'm passionate about leveraging data analysis to solve real-world challenges and improve public health interventions.
- Languages: Python, SQL
- Data Analysis: Data Entry, Excel, Power BI, IBM Cognos Analytics
- Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Data Wrangling: Data cleaning, preparation, and visualization
- Business Intelligence: Dashboards and reporting with Power BI, Cognos
- Created dynamic reports and dashboards to visualize data of key populations with HIV/AIDS. Showed trends in services offered, gender, and nationality, helping to inform strategic decisions at the National Council for HIV/AIDS (CONAVIHSIDA).
- Analyzed CSV datasets using Python libraries (Pandas, Matplotlib) to explore, clean, and visualize data trends. This project showcased my ability to handle real-world datasets and present insights effectively.
- Worked with employee data, used pivot tables, and created reports to streamline compensation and benefits analysis during my internship at Bravo Corporate Offices.
- IBM Data Analyst Professional Certificate (Coursera)
- Data Analyst with Python (Freecodecamp)
- Bachelor’s Degree in Clinical Psychology (Universidad Nacional Pedro Henríquez Ureña)
- 📧 [email protected]
- 💻 GitHub