I compiled an Ideal Consumer List defining five target segments for Beats wireless speakers, with persona profiles, purchase journeys, and competitive positioning.

I analysed survey responses on wireless speakers, combining quantitative charts and qualitative themes to extract consumer segments and key drivers.

I wrote a data-driven project brief and research plan for a NASCAR sponsorship visibility analysis, outlining scope, timeline, metrics, and the proposed visibility scoring approach.

I compiled and cleaned the 2024 NASCAR Cup Series race results, filtered to the regular season and matched drivers to target sponsors.

I produced an EDA report with statistical tests and visual findings linking race performance to media visibility.

I built a visibility scoring model, calculated sponsor scores and ROI efficiency, and documented the methodology and sensitivity tests.

I researched and selected national datasets and defined a sharpened research question for a male suicide disparities study, identifying WISQARS as the primary data source.

I assembled and documented the raw datasets and prepared a 51-state master file for analysis.

I compiled a prioritized set of EDA ideas and visualization plans for state-level analysis of male suicide rates, recommending tests, plots, and tools to explore correlations and outliers.

I drafted a data-driven research report analysing state-level male suicide rates and their associations with firearm availability, mental health provider shortages, income, poverty, and unemployment.

I sourced five early-stage Vertical AI startups and selected one for deeper due diligence using a structured rubric and online search tools.

I compiled a competitor analysis Google Sheet comparing 16+ vendors across category, funding, relevance, and notes for a target AI compliance platform.