Data Department — All Systems Operational

Data, Intelligence
& Machine Learning

One department. End-to-end data stack — from pipelines and warehousing to deployed ML models and business intelligence.

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ML Models Deployed
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Data Pipelines
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Code Repositories
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API Inferences
What We Do

Full-Stack Data Capability

From raw data ingestion to production ML — the department covers every layer of the modern data stack.

🤖
Machine Learning
Model development, fine-tuning, evaluation, and deployment. Computer Vision, NLP, tabular, and time series models — versioned and served via API.
Primary Focus
🏗️
Data Engineering
Scalable ETL/ELT pipelines, data lake architecture, orchestration (Airflow / Prefect), and data quality monitoring across streaming and batch workloads.
Infrastructure
📈
Data Analytics
Exploratory analysis, statistical modeling, A/B testing, cohort analysis, and self-serve analytics with dbt and SQL. Insights that drive decisions.
Insights
📊
Business Intelligence
Executive dashboards, KPI tracking, automated reporting, and data storytelling via Tableau, Power BI, and Metabase. Data visible to every stakeholder.
Reporting
Machine Learning · Primary Focus

Deployed ML Models

Each model is versioned, monitored, and accessible via REST API. Click "Try It" to test live inference in the demo panel below.

Live Inference

Run a Model — Right Now

Select a model, provide input, and hit Run. The request is sent to the external API endpoint in real time.

Configure & Input
Endpoint: —
Output
Results appear here after running the model...
Latency: —  |  Model: —
Data Analytics & BI

Analytics Stack & KPIs

Tools and metrics that power data-driven decisions across the organisation.

Technology Stack
Open Source & Internal Code

Repositories & Notebooks

Training pipelines, ELT scripts, experiment notebooks, and deployment infrastructure. Open in GitHub or run directly in Colab.