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DEVLANTIC / SPECIALIST EXPERTISE

Data Science & Analytics

Extract actionable intelligence from your data with end-to-end data science pipelines — from ingestion and feature engineering to predictive modelling and real-time analytics dashboards.

THE THINKING BEHIND THE BUILD

Data becomes valuable when it drives decisions — not when it sits in a warehouse. We build the end-to-end data infrastructure that moves your organization from reporting what happened to predicting and prescribing what should happen next.

From data pipeline engineering and feature development to production ML models and self-service analytics platforms, we deliver data science that directly and measurably impacts business outcomes.

01 / WHAT WE DELIVER

End-to-end data science, delivered.

01 / CAPABILITY

Predictive & Prescriptive Modelling

ML models that forecast outcomes and recommend the optimal action — deployed where decisions are actually made.

02 / CAPABILITY

Data Pipeline & ETL Engineering

Robust ingestion, transformation, and loading pipelines that handle your data at scale — both batch and real-time streaming.

03 / CAPABILITY

Feature Engineering & Data Quality

The unglamorous work that makes models perform: clean, consistent, well-documented feature sets built on reliable data foundations.

04 / CAPABILITY

Real-Time Analytics Dashboards

Self-service BI platforms that surface the metrics that matter to the teams that need them — without a data analyst in the loop.

05 / CAPABILITY

ML Model Monitoring

Production observability for deployed models — drift detection, automated retraining triggers, and accuracy degradation alerts.

06 / CAPABILITY

Data Strategy Consulting

Define your data architecture, governance policies, and the metrics framework that connects data work to business value.

02 / HOW WE DELIVER

From raw data to business impact.

01

Data Audit

Assess the quality, availability, and structure of your existing data assets — and what it would cost to fill the gaps.

02

Use Case Prioritization

Identify the highest-value analytics and modelling opportunities and sequence them by ROI, not by what's technically interesting.

03

Pipeline Engineering

Build the data infrastructure that makes reliable, high-quality features available to models and dashboards.

04

Model Development

Iterative development, cross-validation, and A/B testing of predictive models against defined business metrics.

05

Production & Monitoring

Deploy models and dashboards with alerting, retraining schedules, data contracts, and full documentation.

03 / TECHNOLOGY & TOOLS

The data stack we run in production.

PythonPySparkdbtApache AirflowSnowflakeBigQueryRedshiftMetabaseTableauscikit-learnXGBoostMLflow

Data Engineering

Data Science · Data Modernisation · Data Streaming · Data Governance · Data Visualisation · Big Data

04 / WHERE IT MAKES A DIFFERENCE

What better data decisions look like.

Churn Prediction & Prevention

Identify at-risk customers before they leave and trigger retention interventions automatically — before the cancellation email arrives.

Revenue & Demand Forecasting

Accurate forward-looking models that improve planning, inventory management, and resource allocation across the business.

Operational Analytics

Real-time visibility into the metrics that drive your core operations — without waiting for the weekly business review.

Fraud Detection

Anomaly detection and risk scoring models that protect revenue without creating friction for the legitimate users you want to keep.

YOUR NEXT STEP

Let’s put a plan
behind your ambition.

Share your goals, constraints, and the challenge you’re solving. We’ll help you define the right way forward.

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