A few things about me: My name is Đỗ Trọng Thức, I was born in 1999, and I'm from Vietnam. I graduated with a degree in Hotel Management, but have transitioned into Data Science where I combine analytical thinking, programming, and data-driven insights to solve real-world problems. I’m known for being hardworking, highly adaptable to different working environments, and able to work effectively under pressure. I also thrive in teamwork settings and am always eager to learn new skills and embrace challenges. I’m especially interested in practical applications of data in fields like retail, supply chain, and e-commerce. I believe every day is an opportunity to learn something new, and that perseverance, critical thinking, and adaptability are the keys to building a sustainable and meaningful career in this field.
I'm especially interested in practical applications of data in fields like retail, supply chain, and e-commerce. I believe every day is an opportunity to learn something new, and that perseverance, critical thinking, and adaptability are the keys to building a sustainable and meaningful career in this field.
Applied RFM analysis and K-Means clustering to segment customers into distinct groups based on purchase behavior. Identified key segments and provided marketing recommendations to improve customer retention and engagement.
Blog Post | Source CodeCombined revenue and customer segmentation analysis for the REALMOF project. The first part involves revenue reporting and sales trends; the second part focuses on customer segmentation using RFM and K-Means clustering.
Blog Post |Conducted an exploratory data analysis (EDA) on Nespresso's customer transaction data. Cleaned and visualized data to uncover customer patterns, purchase behaviors, and key insights for marketing strategies.
Blog Post | Source CodeUsed for data manipulation, automation, and building data science workflows with Pandas, NumPy, Scikit-learn.
CertificateCreated insights with Matplotlib, Seaborn, Tableau, and Power BI.
Dashboard SampleBuilt business dashboards using DAX, Power Query, and multiple data sources.
Dashboard SampleDesigned effective prompts to guide Generative AI (ChatGPT, Gemini) in automating data querying, generating Python/SQL code, and extracting analytical insights using Few-shot, Chain-of-thought, and Interview patterns.