DataBluesLabs is a boutique Data Science & Machine Learning lab. We design, build and ship production-grade models — customer segmentation, churn & CLV, dynamic pricing, generative AI, MLOps and decision-grade dashboards — for telecom, finance, healthcare, retail and beyond.
A boutique lab with the depth of the biggest analytics firms — without the slide decks, the layers, or the lock-in. Pick a service or chain them into a full ML platform.
Behavioural, RFM and value-based segmentation using clustering (K-Means, HDBSCAN, GMM) to power targeted marketing & CX.
Predict who is about to leave — and why. Survival analysis, gradient-boosted classifiers and explainable SHAP-driven action plans.
BG/NBD, Gamma-Gamma and deep-learning CLV models to prioritise acquisition spend and grow profitable cohorts.
Spot silently disengaging users early. Sequence modeling and anomaly detection feeding automated win-back journeys.
Collaborative filtering, matrix factorisation, two-tower & transformer-based recommenders for e-commerce, content and B2B.
Prophet, ARIMA, LightGBM, Temporal Fusion Transformer — accurate forecasts for inventory, finance, telecom and energy.
Elasticity modeling, reinforcement learning and mixed-integer optimisation to maximise revenue or margin under constraints.
Bayesian MMM, multi-touch attribution and uplift modeling to measure true incremental impact across channels.
Real-time fraud detection, AML pattern mining and credit-scoring models built to regulatory and explainability standards.
Sentiment, topic and intent models, chatbots, ticket classification and domain-tuned LLM solutions on open or hosted stacks.
Defect detection, OCR, document AI, medical imaging and video analytics with state-of-the-art CNN / ViT pipelines.
Enterprise-grade retrieval-augmented generation, copilots, agents and evaluation harnesses on Claude, GPT, Gemini or open models.
CI/CD for models, feature stores, monitoring, drift detection and automated retraining on AWS / Azure / GCP / Databricks.
Network, transactional and IoT anomaly detection using Isolation Forest, autoencoders and streaming z-score pipelines.
Lakehouse design, dbt models, Airflow / Prefect orchestration and quality-monitored pipelines that analysts can trust.
Executive-ready dashboards in Power BI, Tableau, Looker and Streamlit — connected live to your warehouse.
RUL estimation and failure prediction on sensor data for manufacturing, energy, fleet and telecom infrastructure.
Experiment design, sequential testing, CUPED variance reduction, double ML and synthetic control studies.
Deep familiarity with sector-specific data models, KPIs and regulatory contexts — so we ship value faster.
Churn, CVM, network analytics
Credit risk, fraud, NPA models
Patient outcomes, claims, RWE
Personalisation, demand, pricing
Predictive maintenance, OEE, QC
Load forecasting, anomaly, smart grid
Pricing, claims fraud, propensity
ETA, routing, network optimisation
Recommenders, content analytics
Yield, demand, loyalty programs
Engagement, learner journeys
Product analytics, growth ML
Every engagement is anchored to a measurable business outcome — no science projects, no shelfware.
Free consultation to map the business problem, success metric and data landscape.
A clear Statement of Work — deliverables, timelines, milestones and pricing, before we write a line of code.
Iterative model development with weekly demos, transparent metrics and acceptance criteria.
Production deployment, dashboards, documentation and team enablement — value, not vapourware.
We bring the playbooks of large analytics firms with the speed, transparency and personal accountability of a specialist lab.
Most engagements deliver a first usable model within 4–8 weeks — not quarters.
Fixed-fee, milestone-based or retainer — pick the model that matches your risk appetite.
Work happens inside your cloud account. We never copy data to personal systems.
Transparent SOWs, IP assignment and a robust services agreement on day one.
Python, PySpark, Snowflake, Databricks, MLflow, dbt and the latest LLM stacks.
Code, notebooks and docs are yours — with team enablement built into every engagement.
DataBluesLabs is an independent data science & ML lab. We partner with organisations that don't just want dashboards — they want decisions, products and revenue powered by data.
We work hands-on across the full lifecycle: from problem framing and feature engineering to model development, deployment and ongoing monitoring — inside your cloud, on your data.
Book a free 30-minute discovery call. No pitch — just a clear view of what's possible.
We typically reply within one business day.