Data Science & Analytics
Data pipelines, predictive models, and analytics dashboards that give your business something concrete to act on — not just charts.
Overview
Data is only as useful as the decisions it enables. We build the infrastructure to collect, clean, and understand your data — then layer machine learning on top to predict what happens next.
We build pipelines that handle millions of rows reliably, dashboards that non-technical stakeholders actually use, and models that are deployed to production — not left in Jupyter notebooks. Everything is monitored so performance does not degrade silently.
What's Included
- Predictive analytics and forecasting models
- ETL/ELT data pipeline engineering
- Real-time analytics with Apache Kafka or Flink
- Business intelligence dashboards (Looker, Metabase)
- Customer segmentation and churn prediction
- A/B testing infrastructure and experimentation
- Data warehouse design (Snowflake, BigQuery, Redshift)
- MLOps — model training, versioning, and serving
Technologies
Who This Is For
Common scenarios where this service delivers the most value.
E-commerce & Retail
Personalisation engines, demand forecasting, and inventory optimisation models.
Fintech & Banking
Fraud detection models, credit scoring systems, and transaction analytics.
SaaS Products
Product analytics, cohort analysis, and usage-based billing infrastructure.
How We Do Data Science & Analytics
Data Discovery
Audit your existing data sources, quality, and gaps — then define the key business questions to answer.
Pipeline & Warehouse
Build the data infrastructure that feeds clean, reliable data to your models and dashboards.
Model Development
Iterative model building with rigorous evaluation against business KPIs, not just accuracy metrics.
Deployment & Monitoring
Models deployed as APIs with drift monitoring so performance doesn't degrade silently.
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AI & LLM Integration
Add AI that actually works in production — RAG pipelines, intelligent chatbots, agentic workflows, and LLM integrations built with OpenAI, Claude, and open-source models.
Learn MoreDevOps & Cloud Infrastructure
Cloud infrastructure on AWS, GCP, or Azure — built as code with Terraform, deployed with zero-downtime pipelines, and observable from day one.
Learn MoreFull-Stack Web Development
Web applications built with React, Next.js, and Node.js — from a focused MVP to a full SaaS platform with auth, billing, and real-time features.
Learn MoreReady to Start a Data Science & Analytics Project?
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