Let's dive in to explore my data-driven projects and analytical skills!
My name is Dung Tran, a Master’s student in Information and Service Management (ISM) at Aalto University with a focus on Supply Chain. In my role as an Operations Specialist at DSV Air & Sea Oy in Finland, I manage Cross-Trade and Sea Export operations, where I apply my passion for data analytics to streamline processes.
With a strong foundation in programming, I am passionate about how to transform data into actionable insights that address real-world supply chain challenges, such as supply planning and inventory optimization. My goal is to leverage my analytical skills and industry experience to drive meaningful improvements and create value for businesses.
Let's connect and explore how I can add value to your team!
My background in supply chain and my current Master’s degree in ISM has led me to develop a passion for data analysis, and I am now eager to transition into this field, specifically aiming to leverage my expertise in Python and SQL as a Data Analyst/Business Analyst.
- Specialization: Supply Chain Management
- Institution: Aalto University
- Duration: 2023 - Present
- Specialization: International Business - Logistics
- Institution: Arcada University of Applied Sciences
- Duration: 2018 - 2021
- Mathematical programming language: Python, R
- Data analysis and visualization libraries: Pandas, NumPy, Matplotlib, Seaborn, GGPlot
- Data analysis and visualization tools: PowerBI, Tableau
- Data management: SQL, PostgreSQL, MySQL
- Machine Learning and Statistical Analysis: Time-series Analysis
- Experience with SixSigma, Git/GitHub/GitLab
| Field | Project Title | Description | Skills Applied |
|---|---|---|---|
| Machine Learning | From Reviews to Insights: Applying Machine Learning Models for Sentiment Rating Classification | Leveraged supervised machine learning models, together with resampling techniques (SMOTE, ADASYN, Random Under-Sampling) to automate the classification of hotel customer reviews into Low and High ratings based on the analysis of review texts and other hotel features. Conducted hyperparameter tuning using Bayesian Optimization to further enhance the model’s predictive accuracy. Achieved 89.74% accuracy. | Python, Supervised Machine Learning Algorithms, Sentiment Analysis |
| TripAdvisor Hotel Review Analysis: Predicting Review Influence with Machine Learning | Developed machine learning models to predict the influence of review authors in real-life and online environments using Weka toolkit, providing actionable insights for marketing optimization and customer engagement. Achieved 85.90% accuracy. | Machine Learning, Data Processing, Weka | |
| Business Intelligence | Wish.com Summer Clothing Sales Performance Analysis | Analyzed Wish.com's summer clothing sales performance using Power BI to visualize key metrics, evaluate the impact of product and merchant ratings, and assess the effectiveness of promotional features, leading to actionable business insights. | Business Intelligence, Power BI, Data Visualization |
| Operations Research | Building Optimization Models using Linear & Non-Linear Programming | Collection of projects applying optimization techniques to solve real-world business problems like transportation, job assignment, and logistics. | Linear Programming, Non-Linear Programming, Solver, Python |
| Data Analysis | Analysis of Correlation between Life Expectancy vs Medical Professional Density | Investigated the relationship between life expectancy and medical professional density across regions using statistical methods to uncover insights into public health and resource distribution. | Statistical Analysis, Data Visualization, Python |
| Database Management | Designing A Volunteer Matching System with Finnish Red Cross | Developed a relational database to efficiently match Red Cross volunteers with local crisis needs, including advanced SQL features and Python data analysis. | SQL, Python, Database Design |
| Decision Analysis | Application of Multi-Attribute Value Theory for Car Purchase Decision Optimization | Applied Multi-Attribute Value Theory to optimize the decision-making process for purchasing a car by evaluating options based on cost, fuel efficiency, safety, etc. | Decision Modeling, MAVT, Python |
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Lean Six Sigma Yellow Belt
Issued on March 1, 2024, by Excellence Finland -
CargoWise Certified Specialist in Forwarding, Transport, and Warehouse
Issued on August 20, 2024, by CargoWise / WiseTech Academy
