Open to roles • Manchester, UK • Remote/Hybrid

Benedicta Ibeawuchi
Data Analyst (Marketing & Customer Insights) | Agricultural Scientist

I turn complex, multi-source data into clear dashboards and actionable insights using SQL, Python, R, Excel, and Power BI.

6+
Portfolio projects
7,043
Churn dataset records
57
Studies in meta-analysis
Benedicta Ibeawuchi headshot

Featured strengths

  • Business-focused insight storytelling
  • Dashboarding & KPI reporting (Power BI)
  • Predictive analytics + segmentation
  • Research-grade analysis (R meta-analysis)

Projects

A selection of end-to-end analytics work, from data prep to insights and recommendations.

Churn analysis dashboard preview

Customer Churn Analysis

Python • Power BI

Identify churn drivers and translate predictive insights into retention actions.

  • Highest churn: month-to-month
  • Risk signals: short tenure + high charges
Campaign analysis chart preview

Campaign Performance Analysis

Python • Insights

Recommend the single campaign to keep under budget constraints to maximise profit and acquisition.

  • Google Ads ranked #1 overall
  • Zero fraud rate recorded
Financial risk Power BI dashboard preview

Financial & Risk Dashboard

Power BI

Evaluate profitability, campaign ROI, demographics, and fraud-risk signals.

  • Fraud rate: 4.77%
  • Google Ads leads ROI
Marketing analytics dashboard preview

Marketing Analytics (RFM + A/B)

Power BI • Segmentation

Segment customers (RFM), compare variants, and surface optimisation opportunities.

  • Champions & Potential Loyalists lead revenue
  • Variant B shows engagement gap
Best product analysis chart preview

Best Product Analysis

Python • Insights

Product and customer insights to improve landing-page strategy and segmentation.

  • High-value customers prefer plants & seeds
  • Plants are best entry product
Drink performance analytics dashboard preview

Drink Sales Performance Analytics

Power BI • Excel • Google Sheets

End-to-end analysis of drink sales data to identify top-performing products, underperformers, and market trends, supporting data-driven business decisions.

  • Identified Cola-Cherry as the top-performing product
  • Flagged Cola-Vanilla as underperforming for potential withdrawal
  • Highlighted Spain as the highest-performing market
Alzheimer analysis chart preview

Alzheimer Project

Python • Insights • Power BI

Exploratory data analysis of Alzheimer’s MRI images to assess class distribution, image quality, and dataset readiness for downstream modelling.

  • High and consistent image quality observed across all Alzheimer’s stages
  • Minimal contrast issues detected, indicating strong suitability for downstream modelling
UK Online Retail dashboard preview

UK Online Retail Analysis

Python • Power BI • SQL • Data Analytics

End-to-end analysis of UK online retail transactions to uncover customer behaviour, sales patterns, and product relationships.

  • Identified peak sales hours and highest-performing weekdays
  • Analysed top products by revenue vs quantity
  • Measured repeat customer rate and customer value segmentation
  • Performed basket analysis to reveal frequently bought-together products
Meta-analysis figure preview

Meta-analysis: Nitrogen & Fungal Disease

R • Research

Synthesise multi-study evidence on nitrogen fertilisation and foliar fungal disease risk.

  • Effects vary by crop and region
  • Higher N can increase disease risk

Skills & Tools

A toolkit built across analytics, BI reporting, and research.

Analytics

SQL Python R Excel A/B Testing Segmentation (RFM) Churn Modelling

BI & Reporting

Power BI Dashboards KPI Reporting Data Storytelling

Marketing & Customer

Campaign Performance Customer Journey Retention Insights ROI / Profitability

About

I am a Data Analyst and Agricultural Scientist with a strong research foundation and hands-on experience building dashboards, segmentation models, and insight-driven reports. I enjoy turning messy datasets into clear narratives that help teams make better decisions, from retention strategy and campaign optimisation to risk monitoring and performance reporting.