Based in the Netherlands · Commercial insights & analytics

GabrielleDing.

Making data mean something.

I'm Gabrielle — an analyst connecting quantitative research with real business questions. I turn complex data into clear insights, thoughtful dashboards, and practical decisions.

Explore my work ↘Download CV ↓
EXPERIENCE & EDUCATIONCoca-Cola Europacific PartnersCWTS · Leiden UniversityUtrecht University
01 / Selected work

Questions into possibilities.

Commercial analytics and social research, connected by a focus on useful evidence.

Commercial analytics / CCEP
Conceptual illustration · no company data shown
01 · Dashboard development

Seeing the opportunity
behind outlet data.

Transforming an incomplete dataset of 58,000+ rows into a coherent Power BI model and dashboard to explore brand presence, distribution gaps, and competitor coverage.

Power BIData modellingStakeholder collaboration
Explore the approach

The question: Where can outlet-level data reveal commercial opportunities?

  • Assess completeness and coverage before drawing comparisons.
  • Structure brand presence into a consistent analytical framework.
  • Consolidate fragmented reporting into an integrated dashboard.
  • Refine reporting requirements with stakeholders.

My contribution: Independent data transformation and dashboard development, supporting commercial decision-making.

Commercial insights / CCEP
Conceptual workflow · no internal systems shown
02 · AI enablement

Building the foundation
for AI-assisted insights.

Supporting a new commercial insights AI solution by preparing datasets, refining analytical models, and testing use cases across scanning and household panel data.

AI use casesScanning & panel dataData preparation
Explore the approach

The question: How can structured data support faster, more consistent commercial analysis?

  • Extract relevant business information from complex datasets.
  • Refine the datasets and models that underpin analysis.
  • Contribute to use-case testing and refinement.

My contribution: Data and modelling support for the Commercial Insight team's AI rollout.

Research / Utrecht University
How do gender expectations shape online hostility?
Research master's thesis
03 · Experimental research

Understanding behaviour
through research design.

My master's thesis investigated gender transgressions and online misogyny through an experimental study of hostility toward female politicians.

Survey experimentsStatistical modellingBehavioural analysis
Explore the research

The study used a vignette experiment to examine gender-role expectations, assertiveness, and comment anonymity in relation to willingness to post hostile comments.

This work connects my interest in online behaviour with experimental design and quantitative analysis. Research findings are not presented here.

02 / A little about me

An analyst's toolkit.
A researcher's curiosity.

My background in sociology taught me to ask better questions about people and systems. Working in commercial analytics has brought those questions into business — what drives performance, where are the gaps, and what should we do next?

Today, I'm a Commercial Insights Analyst Intern at Coca-Cola Europacific Partners. I bring experience across business data, international research, and HR analytics, with an emphasis on ownership, clear communication, and practical problem solving.

Data & visualisation

Power BI · SQL · R · Python
Advanced Excel · Data modelling

Research & methods

Regression · Causal inference
Experimental design · Text analysis

How I work

Stakeholder communication
Cross-functional collaboration · Ownership

Languages

Mandarin — native
English — advanced · Dutch — basic

03 / The journey so far

Different settings.
The same curiosity.

A path through commercial insights, international research, and people analytics.

Sep 2026 — Present
Rotterdam, Netherlands

Commercial Insights Analyst Intern

Coca-Cola Europacific Partners

Develop Power BI models and dashboards, improve commercial data usability with stakeholders, and support AI-assisted insight generation.

Sep 2025 — Mar 2026
Leiden, Netherlands

Quantitative Research Intern

Centre for Science and Technology Studies · Leiden University

Analysed international resource-allocation datasets using SQL and R, explored disparities across regions and organisations, and translated findings into visualisations and reports for international stakeholders.

Aug 2023 — Oct 2023
Shanghai, China

HR Data and Operations Intern

Texas Instruments

Analysed employee engagement and satisfaction drivers, combined quantitative and qualitative insights, and coordinated interview scheduling across 20–30 stakeholders.

Education

Research Master · Sociology and Social Research

Utrecht University · 2024–2026

Bachelor · Sociology

Anhui University · 2020–2024

Summer School · Survey Methodology

GESIS, Cologne · 2025
Conjoint experiments, causal inference, and power analysis.

Continued learning
Google Data Analytics CertificateMcKinsey.org Forward ProgramPeople Analytics · University of PennsylvaniaSEO & Content Marketing Certification
04 / Let's connect

Good questions start
good conversations.

Interested in commercial insights, analytics, or research? I'd love to connect.

LinkedIn ↗View CV ↗