Kenyan Market Trends Dashboard
A Streamlit dashboard processing a real-world dataset, hosted end to end on AWS.
PythonStreamlitpandas
Case study Bridging the gap between raw data, machine learning, and scalable web applications.
Pipelines, ML models and dashboards that turn raw data into decisions.
Learn moreNext.js, React and FastAPI/Django apps that serve that data live.
Learn moreAWS infrastructure and deployment pipelines that keep it all running.
Learn moreA Streamlit dashboard processing a real-world dataset, hosted end to end on AWS.
A Next.js + FastAPI application that runs a machine learning model for its users.
| Tier | Offering | Deliverable |
|---|---|---|
| A // DATA-WEB | Custom Dashboards Internal tools that track KPIs in real time. | Scoped per project |
| A // DATA-WEB | AI Integration Predictive features and LLM capabilities added to existing web apps. | Scoped per project |
| B // CLOUD-DATA | AWS Migration & Optimization Moving local workloads to AWS, or trimming an existing AWS bill. | Scoped per project |
| B // CLOUD-DATA | Automated ETL Pipelines Systems that collect and clean business data on a schedule. | Scoped per project |
| C // MVP | Data MVP Launch A functional prototype built with Streamlit or FastAPI to test market viability in 1–2 weeks. | 1–2 week sprint |
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