Data analysis · Business recommendations

CyclisticBike-Share.

Understanding rider behaviour to shape a more focused membership conversion strategy.

Rider comparisonANALYSIS / 01

The brief

From trip recordsto a business decision.

The project asks how casual riders and annual members use a bike-share service differently, and how those differences can inform a conversion strategy.

The analysis is framed as a business case, connecting data preparation and rider comparisons to clear, decision-ready recommendations. The complete methodology, code, and outputs are documented in the live Kaggle notebook.

Analytical workflow

01

Frame

Translate the marketing objective into a focused analytical question about rider behaviour.

02

Prepare

Structure and clean trip data so comparisons are reliable, consistent, and reproducible.

03

Analyse

Compare usage patterns across rider groups and surface the differences that matter commercially.

04

Recommend

Turn analytical findings into practical actions for membership conversion and targeted marketing.

The code

Transparent, documented, and ready to inspect.

The working notebook keeps the analysis, visual outputs, and business narrative together in one reproducible case study.

analysis_workflow

# ask
define_business_question()

# prepare
clean_and_validate(trip_data)

# analyse
compare_rider_behaviour()
visualise_key_patterns()

# act
translate_insight_to_action()

Next step

More projects are on the way.

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