Welcome to my GitHub — where business data, CRM analytics, and performance insights come together to support better decision-making.

I’m a CRM & Business Intelligence Analyst focused on transforming raw data into clear, actionable insights for sales, marketing, and operations teams. I work primarily with HubSpot, Power BI, SQL, and Python, building dashboards and analytics systems that improve visibility across the revenue lifecycle.

Alongside business analytics, I also develop football analytics projects, applying the same analytical rigor to performance, strategy, and decision-making in sport.

• Role: CRM & Business Intelligence Analyst
• Based in: France
• Focus: CRM analytics, revenue operations, performance dashboards, and data-driven decision support
• Approach: Practical, business-oriented analytics with clean data models and clear storytelling

• End-to-end CRM analytics projects (HubSpot → SQL → Power BI)
• Revenue & sales performance dashboards (pipeline health, win rates, cycle time, churn)
• Customer & lifecycle analysis to support retention and growth
• Select football analytics projects (xG modeling, match analysis, team performance)

• Sales pipeline analysis & revenue tracking
• CRM data modeling (contacts, deals, lifecycle stages)
• KPI definition, reporting, and executive dashboards
• Data quality, automation, and operational insights

• Expected Goals (xG) modeling
• Match and team performance analysis
• Player contribution and tactical insights

• SQL-based analysis and transformations
• Python analytics pipelines
• Predictive modeling for business and sports data

• Advanced Power BI modeling & DAX optimization
• CRM data architecture and reporting best practices
• SQL performance tuning and analytical queries
• Applied machine learning for structured datasets

Analytics & BI: Power BI (DAX, modeling, KPI dashboards), SQL, Excel

Programming: Python (pandas, NumPy, scikit-learn), R (foundations)

Data Workflows: ETL pipelines, API integration, data cleaning, transformation logic

Visualization & Apps: Power BI, Streamlit, Plotly

Tools & Collaboration: Git, GitHub, Jupyter Notebooks, VS Code

End-to-end CRM analytics project analyzing contacts, deals, pipelines, and lifecycle stages. Built Power BI dashboards to track:

• Win rates & conversion funnels
• Sales cycle length
• Pipeline health & churn indicators

Business-focused analysis of sales KPIs by rep, region, and stage, with actionable recommendations for performance improvement.

Logistic regression model with calibration for shot quality evaluation, producing match- and player-level xG insights.

Machine learning pipeline predicting match outcomes using xG, form, and Elo-based features.

• CRM & BI analytics projects
• Sales, revenue, or customer performance dashboards
• Football analytics and performance analysis initiatives

• 📧 Email: paulolulana00@gmail.com
• 💼 LinkedIn: https://www.linkedin.com/in/oluwafemi-paul-3a7272265/

Turning data into clarity, performance, and measurable business value.