DanielEmakporuena

Commercial analytics · Applied artificial intelligence

Data Specialist &
AI Researcher

I turn complex data into dependable decisions, publish applied AI research, and build tools and communities that make technology more useful.

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Commercial workAnalytics, forecasting & decision support
Professional experience

Property price forecasting & reporting reliability

Built regression-based property forecasting and structured SQL validation checks to support investment decisions and reduce reporting discrepancies.

  • SQL Server
  • Regression
  • Data validation
Product decision case study

Banknote Dimensions: Evidence-Based Wallet Sizing

Used international banknote dimensions, percentile analysis and edge-case reasoning to turn a messy dataset into a practical product specification.

  • Exploratory analysis
  • Visualisation
  • Product analytics
Machine learning

Binary Prediction of Poisonous Mushrooms

A classification project focused on model comparison, validation, feature handling, and defensible prediction.

  • Python
  • Classification
  • Model evaluation
Deep learning

Dog Breed Classification with CNN

An image-classification workflow demonstrating convolutional neural networks, training decisions, and performance evaluation.

  • CNN
  • Computer vision
  • Python
Natural language processing

Text Summarisation

An NLP project exploring how long-form text can be condensed into useful, readable summaries.

  • NLP
  • Transformers
  • Python
Financial services

Lead scoring, churn risk & revenue forecasting

Built predictive models and translated their outputs into prioritised targeting for sales teams across lead conversion, churn and revenue.

  • Predictive modelling
  • Segmentation
  • Forecasting
ResearchApplied, trustworthy & human-centred AI
Open sourceTools and data infrastructure
★ Creator & maintainer

Percentify

A Python data-analysis toolkit with consistent outputs across pandas, Polars and Series workflows, including diagnostics and statistical utilities.

PyPI ↗Source code ↗
Speaking & communityTalks, media, writing & leadership
Community role

BCS Early Careers Executive

Serving as Treasurer on the national committee, supporting governance, budgeting, funding coordination and early-career community development.

Research depth.
Commercial judgment.
Community contribution.

I began in mathematics, continued into data science, and now work across the full path from raw data and statistical modelling to decisions, publications, open-source tools, and public engagement.

My interests include trustworthy machine learning, generative AI, healthcare, education, natural language processing, responsible AI, and data governance.