KW

KanWu / Wu Kan

DataAnalyst

Data Analyst with a focus on business insight, reporting, and data-driven decision making

I translate messy operational and business data into clear reporting, practical analysis, and decisions that teams can act on. My work sits between analytics execution and business communication: SQL, Python, dashboards, careful interpretation, and concise storytelling.

View CVContact me

01About

Analytical work, business language

I am an MSc Statistics & Sustainability student at Trinity College Dublin with a B.Eng. background in Data Science and Big Data Technology.

My work combines Python-based data processing, statistical modeling, market research, data visualization, and backend system support.

I enjoy turning scattered business or operational data into clean analysis, readable reporting, and practical recommendations for teams.

02Experience

Internship experience across data analysis, backend support, and operational data workflows

The experience below is summarized from my CV, with emphasis on measurable data work, workflow support, and business-facing analysis.

Wuhan Jingmao Kunhang Construction Engineering Co., Ltd. / 01.2023 - 06.2023

Data Analyst Intern

Market research5,000+ records15+ visuals
Researched the construction engineering market by reviewing 20+ reports and datasets, then processed 5,000+ market and competitor records with Python and Excel. Built 15+ visualizations with Matplotlib and Seaborn to explain market dynamics, competitor positioning, pricing patterns, and growth opportunities.

Wuhan Geoyuan Tech Co., Ltd. / 06.2021 - 08.2021

Back-end Developer Intern

Backend support3,000+ recordsGIS data
Supported backend development and environment setup for internal business applications, while organizing 3,000+ structured project and business records. Assisted with geospatial datasets and coordinate-based project information, applying basic GIS concepts to support mapping and spatial visualization tasks.

Trinity College Dublin / 2024 - 2025

MSc Statistics & Sustainability

StatisticsLMMGIS analysis
Applied statistics, data analytics, advanced linear models, and GIS-based spatial analysis in postgraduate study. Dissertation work used five-year grassland experiment data and linear mixed-effects modeling to build a reproducible statistical framework for sustainable management decisions.

03Skills

SQL, Python, BI, and business context

Data analysisPython / SQL / Excel / Statistical modeling / Market research
VisualizationMatplotlib / Seaborn / Data visualization / GIS basics
Data processingPandas / NumPy / MySQL / MongoDB / Data cleaning
Development supportBackend support / Java / C / C# / Linux / Workflow automation

04Projects

Selected academic and technical projects with data, modeling, and system-building components

Statistics / Linear mixed-effects modeling

Grassland yield and sustainability dissertation

Analyzed five years of Dutch grassland experimental data to study how diverse sward mixtures and intensive management affect dry matter yield. The work connected statistical modeling with soil quality and biodiversity factors to support sustainable grassland management.

Machine learning / Predictive analysis

Hair sample analysis for baldness experiment

Collected and analyzed hair sample data using statistical and machine learning methods to explore potential relationships between sample indicators and baldness risk. Built an early predictive model to support more personalized treatment thinking.

JavaEE / Recommendation logic / Backend development

Online shopping system

Led and contributed to an online shopping system project, designing database schema and backend logic, implementing core business functions, and improving system performance. Related project work also used user behavior and classification data to build personalized recommendation logic.

05CV

The CV page displays the English PDF in English mode and the Chinese PDF in Chinese mode, with a clear preview and download path

Current PDFOpen CV page

06Contact

Open to data analyst opportunities, internship conversations, and analytics-focused roles

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