About Me
I am pursuing a Master's Degree in Data Science at University of Michigan - Dearborn (expected May 2027) with a cumulative GPA of 4.0.
I have 3+ years of experience in Data Science and Analytics before my Master’s. My most recent role was Data Analyst at Gearlaunch, a global US-based company in the e-commerce industry, where I was the sole data analyst responsible for the entire company’s analytics system. Prior to that, I worked at VCCORP, Vietnam’s leading tech company with the largest digital media ecosystem, first as a Data Analyst and later promoted to Data Analyst - Team Lead for a team of 4, responsible for the analytical growth of 7 media sites.
I specialize in Analytics discipline, including designing statistical experiments, building predictive models, and deploying automated dashboards (Tableau, Google Cloud Platform). I'm proficient in Python, Statistical Analysis, and Machine Learning. With my Master’s specialized in Computational Intelligence, I am sharpening my skills in Data Mining, Machine Learning, Deep Learning and AI applications.
I'm an enthusiastic learner (I built this portfolio website entirely on my own, with ZERO experience in CSS and JS!). I self-taught myself into a career in data and landed my first Data Analyst job when I was third-year undergraduate business student, then got promoted to Data Analyst - Team Lead just one month after graduation. With an upcoming Master’s Degree in Data Science, I am eager to continue bringing curiosity, discipline, and drive to every project and growing as a data science professional.
Skills
Machine Learning & AI: Regression, Classification, Tree-Based Models (Decision Trees, Random Forest, Gradient/XGBoost), Deep Learning (Neural Networks, CNNs, RNNs), Time Series Analysis, K-Means Clustering, Recommendation System.
Languages & Frameworks: Python (Pandas, Scikit-learn, NumPy, Matplotlib, Seaborn, Tensorflow, PyTorch), SQL, PySpark.
Analytics: Data Modeling, ETL, Data Mining, Segmentation, A/B Testing, Analytical Reporting.
Big Data Platforms: Apache Spark, PySpark, Hadoop, Google Cloud Platform (Big Query, Vertex AI, Google Datastore)
Collaboration Tools: Git, GitHub, Jupyter Notebook, Google Colab, Microsoft Office.
Data Visualization and BI Tools: Tableau, Power BI, Looker, SAP, SAP Cloud, Excel.
