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Service

NLP & Text Analytics

I turn unstructured text — financial reports, earnings transcripts, customer feedback, dense documents — into structured, decision-ready insight.

What I deliver

Sentiment & classification

Categorise feedback, tickets and documents at scale with BERT and FinBERT models.

Topic & theme discovery

Surface emerging themes across large text corpora with BERTopic.

Entity & metric extraction

Pull structured data points — figures, risks, entities — out of dense documents.

Summarisation & search

Condense large document sets and make them queryable.

How I work

01

Discovery

We start with the decision you need to make, the data you hold, and what a good outcome looks like.

02

Scope

A clear, fixed-scope proposal with defined deliverables and success criteria — no open-ended billing.

03

Build

Modelling, validation and iteration against your real data, with progress you can see.

04

Handover

Production-ready code, documentation and a dashboard or interface your team can actually use.

Capabilities & tools

FinBERTBERTGPT-2BERTopicVADERTransformersPyTorchNLTKspaCy

Selected related work

Have a project in mind?

Tell me about the decision you're trying to make with your data. I'll tell you honestly whether I can help.

Get in touch