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Data Science

Data visualisation dashboards

Client

Vinith Arepally

Project date

01 August, 2022

Role

Data scientist — end to end

Project link

View the project

Description

This project involved data visualization and analysis on Netflix dataset.

The brief started from raw, uneven data and an open question: what could be learned from it, and what would be reliable enough to act on.

Approach

01

Framed the question with the stakeholder, then audited the data available against it.

02

Cleaned, structured and engineered the inputs, documenting every transformation.

03

Built and compared candidate models in Power BI and Matplotlib, tuning the strongest.

04

Validated on held-out data and packaged the result with a written hand-off.

Stack

Power BIMatplotlibSeaborn

Gallery

Data visualisation dashboards
Data visualisation dashboards
Data visualisation dashboards
Data visualisation dashboards
Data visualisation dashboards
Data visualisation dashboards
Data visualisation dashboards

Outcome

A reproducible pipeline that can be re-run on new data without rework.

Findings translated into plain-language recommendations for non-technical readers.

Documentation and code structured so another analyst can pick it up.

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