Curated professional portfolio
Raymond
Dankwa
Business Analytics · HR & Compliance · Strategy · Digital Innovation
Analytically driven professional combining business analytics with experience in human resources, quality management, governance and evidence-led reporting. My work span predictive modelling, retail forecasting, strategic simulation, live consultancy and human-centred digital projects.
Predictive analyticsPython & RExcelHR dataQuality systemsConsultancy
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ProfileProfessional direction
Interested in business analytics, data and reporting, HR analytics, operations, project support, governance-focused organisations and practical digital innovation.
EducationAcademic foundation
MSc Business Analytics candidate, expected 2026. BA Political Science with French. Institutional names are intentionally omitted from this public portfolio.
ExperienceEvidence-led operations
Experience supporting HR, compliance, quality systems, audit preparation, workforce reporting and administrative decision-making in regulated environments.
Selected evidence
Analytics, strategy and modelling projects
These summaries are based on work supplied for this portfolio. Full assessed submissions are not reproduced publicly.
Machine learningAI Job Salary Prediction
Compared Linear Regression, Random Forest and XGBoost on approximately 90,000 global AI and data-job records.
R² 0.94 XGBoostFeature importanceHR insight
Key evidence: ensemble methods outperformed the linear model; experience, bonus and location were among the strongest salary drivers.
Forecasting & optimisationRetail Sales Forecasting
Collaborative proof-of-concept using open retail data to explore seasonal demand, profitability, discount risk and customer segmentation.
SARIMAMAPE 18.97%K-MeansDecision Trees
Key evidence: seasonal forecasting captured Q4 demand more effectively than non-seasonal ARIMA, while discounting emerged as a major margin risk.
Business strategyVoltex Motors Simulation
Analysed a simulated manufacturer across four competitive rounds, connecting production, finance, workforce and pricing decisions to results.
£549.88m R4 profit100% sell-throughSMART objectives
Key evidence: the company progressed from an initial loss to strong profitability through disciplined scaling and demand-matched production.
ClassificationTelecom Customer Churn
Built an end-to-end notebook comparing Logistic Regression, Decision Tree and Random Forest classification workflows.
PythonROC/AUCCross-validationFeature importance
Responsible reporting: the supplied notebook did not preserve final outputs, so no unsupported performance score is claimed.
ToolsAnalytics toolkit
Python, R, SPSS, advanced Excel, Jupyter Notebook, SQL working knowledge, foundational Power BI and AI-assisted analytical workflows.
GovernanceQuality and compliance
Quality-management documentation, ISO/IEC 17020-aligned compliance work, audit support, data validation and structured reporting.
CommunicationFrom analysis to action
Experienced in translating data and research into clear reports, recommendations, client presentations and non-technical explanations.
Public-portfolio standard
Curated evidence, not a document dump.
Original assessed reports, student IDs, university names, declaration pages, team-member identifiers, private contact information and potentially confidential material are not published here. Public summaries focus on the problem, approach, evidence, skills and outcomes.