Recommendation System for Fashion Retail
A machine learning system that generates personalized product recommendations using collaborative filtering, content-based filtering, and market basket analysis.
The Analyst
I'm a Data/BI Analyst passionate about digital transformation.
With 3 years of experience and a master's degree in Business Intelligence from Dalarna University, Sweden. I help organizations turn data into insights, support data-driven decisions, and build automated analytics solutions.
A Data/BI Analyst with hands-on experience building automated ETL pipelines, SQL-based data models, and interactive Power BI dashboards to support business decision-making. Proven track record of reducing reporting time by 40%–70% through automation and delivering KPI-driven insights across finance, recruitment, and operations domains.
Currently pursuing a Master’s in Business Intelligence in Sweden (SI Scholar) with strong interest in scalable BI solutions and data-driven performance optimization.
If you're curious to dive deeper into my work, you can follow me:
People Analytics Assistant Manager
transcosmos Vietnam
04.2025 – 07.2025
• Designed and automated end-to-end ATS workflow using Python and Power Automate, reducing manual operating time by 40% and cutting annual system costs by 100M+ VND per year.
• Developed recruitment performance dashboard tracking funnel conversion, time-to-hire, and source effectiveness across 200+ positions and 10+ projects per month.
Freelance Data Analyst
09.2022 – 08.2025
• Delivered 10+ customized BI dashboards (Power BI/Looker) for SMEs in finance and retail, enabling real-time KPI monitoring.
• Developed a hybrid recommendation engine integrating SVD-based collaborative filtering and custom content-based KNN algorithm, trained on transactional data to model user–item interactions and product similarity.
• Developed FastAPI-based internal analytics tool integrating ETL logic for financial datasets, reducing reconciliation workload by 2 hours/day.
Talent Acquisition Supervisor cum Data Analyst
Concentrix Vietnam
06.2024 – 03.2025
• Led a team of 2 recruiters hiring STEM roles for 3 international projects.
• Scaled social recruitment pipeline from 3 to 50 hires/month (+1,500%) by implementing data-driven content testing and conversion tracking.
• Automate hiring process and reporting workflows using Python + Power Automate, saving 6+ hours/week.
Data Analyst
Concentrix Vietnam
05.2023 – 05.2024
• Designed and deployed automated ETL pipelines (SQL + Python) and snowflake-schema-based Power BI dashboards for 3 business units, reducing reporting time by 5 hours/day/project (~300+ hours annually).
• Designed Python-based web scraping and SQL processing pipeline handling 1,000+ records/month to generate performance metrics and recruitment funnel analytics.
• Awards: Best Performer of the Month (06/2023), Innovation Award (08/2023)
National Director of Youth Engagement Department
AIESEC Vietnam Social Enterprise
08.2021 - 07.2022
• Developed data systems and strategic plans to drive the department across nine branches, directly leading a commission of 13 members.
• Exceeded sales and profit goals by 116.05% and 176.11% respectively.
Master of Business Intelligence in Micro data analysis
Dalarna University, Sweden (Fully Funded SI Scholarship)
2025 - 2026
Bachelor in International Business
Can Tho University, Vietnam
2017 - 2024
A machine learning system that generates personalized product recommendations using collaborative filtering, content-based filtering, and market basket analysis.
A quantitative finance project that analyzes historical stock data to model price dynamics and evaluate portfolio risk using statistical and financial modeling techniques.

An interactive Power BI dashboard analyzing telesales operations, agent performance, and sales conversion funnels to support data-driven decision-making.

A web-based application that helps users track, manage, and analyze their personal finances through structured income, expense, and asset tracking.
I welcome further discussion of our development.
A mini-training session for my friends in BI/DS master program on how to use Polars, Matplotlib and Seaborn in data analysis and visualization.
Vlog about my first day in Sweden
Vlog hành trình vượt 12,000km đến Thụy Điển
Những yếu tố mà mình tin là đã giúp hồ sơ của mình trở nên nổi bật và thuyết phục được hội đồng tuyển chọn SISGP