Data Services

Custom data work available on a project basis. Scope and pricing depend on complexity — contact us to discuss your specific needs.

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Machine Learning Model Development

Model development for structured tabular data: classification, regression, time-series forecasting, and anomaly detection. Work typically covers data preprocessing, feature engineering, model selection, training, and evaluation against a held-out test set. Deliverables include trained model artifacts, documented methodology, and reproducible Python code.

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Statistical Analysis and Forecasting

Exploratory data analysis, hypothesis testing, regression modelling, and time-series forecasting using R or Python. Suitable for understanding what's driving a metric, validating whether an observed pattern is statistically significant, or building a forward-looking model from historical data. Results are delivered with clear methodology documentation and visual summaries.

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Data Collection and Scraping

Automated data collection from public web sources, APIs, or structured documents. Output is a clean, structured dataset in your preferred format — CSV, JSON, or database. Typical use cases include market data aggregation, pricing intelligence, and building datasets for downstream modelling work. Rate limits, pagination, and deduplication are handled as part of the pipeline.