With over 24 years of experience analyzing complex human patterns and a Master’s degree in Behavioral Sciences (Bio-Psycho-Social Model), I specialize in Data Analytics that bridges the gap between numbers and human behavior. I decode raw datasets to drive business growth, optimize retention, and support strategic decision-making.
- Data Analytics: Python (Pandas, NumPy), Advanced Data Cleaning, Exploratory Data Analysis (EDA), and Statistical Reporting.
- Visualization & Dashboards: Streamlit, Plotly, Matplotlib.
- AI for Analysis: Advanced Prompt Engineering for accelerated data processing and automated insight generation.
- Methodology: Cognitive-Behavioral Framework applied to Consumer Retention (Churn), LTV Optimization, and Market Trends.
- The Goal: Strategic analysis of the US used car market to identify pricing drivers.
- Tech: Python, Streamlit & Render Deployment.
- Impact: Developed an interactive BI tool for real-time analysis of price depreciation vs. vehicle condition.
- The Goal: Analyzing purchasing patterns to identify retention drivers and reorder cycles.
- Behavioral Edge: Applied psychological pattern recognition to segment high-value customer segments.
Most analysts see rows of data. I see patterns of behavior. My clinical background provides a unique lens for:
- Diagnostic Analytics: Understanding why customers are leaving or buying.
- Predictive Insights: Spotting behavioral shifts before they impact the bottom line.
- Strategic Communication: Translating complex data into clear, actionable recommendations for stakeholders.
- LinkedIn: linkedin.com/in/andré-vinagre
- Email: andre_vinagre77@hotmail.com
- Location: Portugal (Available for Global Remote Projects)
- Goal: Transforming "silent data" into "actionable revenue."