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    Data Science & Analytics

    We turn your raw data into competitive intelligence. Custom ML pipelines, predictive models, and executive dashboards that transform how your organisation makes decisions.

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    ml_pipeline.py
    1import pandas as pd
    2from sklearn.ensemble import GradientBoosting
    3 
    4def train_churn_model(df: pd.DataFrame):
    5 X = feature_engineer(df)
    6 y = df['churned']
    7 
    8 model = GradientBoosting(n_estimators=200)
    9 model.fit(X_train, y_train)
    10 auc = roc_auc_score(y_test, preds)
    11 # AUC: 0.94 ✓
    12 return model, auc

    Data That Decides

    Custom ML Model Development

    Regression, classification, clustering, and time-series forecasting models tailored to your business problem and dataset.

    Data Pipeline Engineering

    ETL pipelines, data warehouses, and streaming architectures on BigQuery, Snowflake, or Redshift; clean data in, insights out.

    Interactive Dashboards

    Executive and operational dashboards built with Recharts, D3, or Metabase. Beautiful visualisations that drive real decisions.

    Predictive Analytics

    Demand forecasting, churn prediction, anomaly detection, and pricing models that give your business a data-driven edge.

    Multi-Tenant Analytics Platforms

    SaaS analytics platforms where your enterprise clients can explore their own data with custom role-based access and white-labelling.

    Data Governance & Quality

    Great Expectations, dbt, and data catalogues. We ensure your data is accurate, consistent, and trustworthy before it reaches any model.

    Tools We Master

    Python
    TensorFlow
    pandas
    scikit-learn
    matplotlib
    XGBoost
    BigQuery
    dbt
    Airflow
    Redshift
    Recharts
    D3.js
    Metabase

    Ready to Unlock Your Data?

    Book a data strategy session. We will map out what is possible with your existing data.

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