About Services Work Contact Get in Touch →
Data Science & Analytics · Ireland

True Signal
Data™

The signal behind every smart decision

Precision analytics, meaningful insight, decisive action. Data science applied where it matters most.

Explore Services About Us
Scroll
About
01

Where deep expertise
meets data science

True Signal Data™ was built on a simple conviction: the most valuable thing in any dataset is what most people miss. Eight years working inside complex, data-rich organisations made one thing clear — the most valuable insight is always in the numbers.

That conviction led deep into data science, machine learning, and AI — layered on top of a foundation in finance, and an undergraduate grounding in biology, mathematics, physics, and chemistry. Few data scientists carry that breadth. Fewer still have applied it across real-world organisations.

Biology · Mathematics · Physics · Chemistry
BSc Honours · NUI Maynooth
Finance · Derivatives · Econometrics
Postgrad Diploma · TU Dublin
Data Science · ML · Time Series · NLP
Postgrad Diploma · Data Science Institute Dublin
Services

What True Signal Data does

01
Quantitative Analysis
Statistical modelling, time series analysis, and signal extraction — finding the patterns and relationships that explain what is actually driving performance.
02
Machine Learning & AI
Predictive modelling, classification, clustering, and NLP — building systems that learn from historical data to support better decisions going forward.
03
Strategy & Decision Support
Translating analytical findings into recommendations, dashboards, and reporting that non-technical stakeholders can act on with confidence.
Case Studies

Work in practice

Predictive Analytics · Retention Strategy

Customer Churn Prediction & Retention Strategy

An end-to-end churn prediction workflow for a subscription business — from data cleaning and exploratory analysis through to predictive modelling and segment-level retention recommendations.

  • Identified contract type, tenure, and monthly charges as the strongest churn drivers across 7,000+ customers
  • Compared Logistic Regression, Random Forest, and XGBoost across precision, recall, and ROC-AUC
  • Translated model outputs into targeted retention actions by customer risk segment
  • Built a live ROI simulation estimating revenue impact of a retention campaign
Python scikit-learn XGBoost Plotly Streamlit
Client work is confidential. This case study uses the publicly available IBM Telco Customer Churn dataset to demonstrate the analytical approach.
View Case Study →
Quantitative Finance · Portfolio Analytics

Portfolio Risk & Performance Dashboard

An end-to-end portfolio analytics workflow evaluating returns, volatility, drawdowns, diversification, and risk-adjusted performance across a multi-asset ETF portfolio — translating raw market data into the metrics that drive informed investment decisions.

  • Evaluated SPY, QQQ, TLT, GLD, VNQ, and BIL across 2,500+ trading days from 2015–2024
  • Identified that equity ETFs drove disproportionate portfolio risk relative to their capital weight
  • Computed asset correlation matrix and marginal risk contributions to assess true diversification
  • Benchmarked against SPY and a 60/40 blend across six risk and return metrics
Python pandas yfinance matplotlib scipy
Client work is confidential. This case study uses publicly available market data to demonstrate the analytical approach.
View Case Study →
Contact

Your data already has
the answer.

Hidden in your data are better decisions, stronger performance, and opportunities your competitors haven't seen yet. Let's find them.

hello@truesignaldata.com Get in Touch →