Marcela Stephanie Pereira Maris

Organized and communicative professional with solid experience in project coordination and customer-facing roles. Resilient, adaptable, and highly skilled in teamwork, deadline management, and problem-solving. After relocating to London, I completed intensive Data Analytics courses (Meta and TripleTen), strengthening my competencies in Excel, data organization, and reporting. Currently seeking opportunities in customer service, reception, or administrative support where I can contribute with strong organizational, analytical, and interpersonal abilities.

• Programming & Data: Python (Pandas, Matplotlib, Seaborn, Plotly), SQL
• Visualization & BI: Tableau, Power BI, Streamlit, Dash
• Data Analytics: Data cleaning, exploratory data analysis, hypothesis testing, A/B testing
• Productivity: Excel (advanced), Google Sheets

ENEM Dashboard – Education Data Analysis (2019)
🔗 dashboard-enem-tvu8.onrender.com

• Built an interactive web application using Streamlit to analyze results from Brazil’s national high school exam (ENEM).
• Developed visualizations (histograms, boxplots, scatter plots) to compare student performance by gender and age group.
• Technologies: Python, Pandas, Plotly, Streamlit.
  Skills: Data visualization | Dashboarding | Statistical analysis

Customer Churn Prediction – Telecom (TripleTen)

• Analyzed telecom customer dataset to predict churn using SQL and Python.
• Applied descriptive statistics and hypothesis testing to identify churn factors.
• Produced report highlighting risk segments and retention strategies.
  Skills: SQL | Python | Hypothesis testing | Reporting

Sales Dashboard – Retail Chain (TripleTen)

• Built interactive sales dashboard in Tableau, tracking performance by region and product.
• Performed data cleaning and exploratory analysis in Python.
• Delivered insights for product repositioning, simulating a +12% sales increase scenario.
  Skills: Tableau | Python | Data cleaning | Dashboarding