Projects Portfolio
On this page, various of my projects have been listed from Supply Chain Optimization to Marketing Data Analysis, covering different industries including Healthcare, Retail and Telecommunications. Each project is clickable so more details such as algorithms, tools and methods are covered.
In this project, I applied Natural Language Processing (NLP) and topic modeling to analyze 20,000 negative Amazon product reviews (Score = 1). Using BERTopic combined with custom text preprocessing and dimensionality reduction, I identified recurring patterns of customer dissatisfaction. To enhance interpretability, I integrated OpenAI’s LLM to generate concise human-readable topic labels from keyword clusters. The results provide actionable insights into customer pain points that businesses can leverage to improve product quality, delivery, and packaging.
This project focuses on optimizing supply chain management by minimizing the difference between scheduled delivery dates and actual delivery dates. The primary objective is to select the optimal shipment mode and vendor for each brand while adhering to constraints related to shipment weight and freight costs for each country.
This Tableau visualization analyzes UK bank customer data, showcasing balance distributions and segmentation. It includes a normal distribution chart to highlight averages and outliers, and dynamic clustering by age and balance. Interactive filters and adjustable parameters empower stakeholders to tailor insights and develop targeted strategies.
After cleaning the dataset by using Python, I pulled the dataset into Tableau to see what information could be extracted which is helpful for marketing purposes. Thus, the following insights can be perceived from the graphs which are interactive.
Developed a machine learning model to predict the likelihood of a heart attack based on patient lifestyle and health factors such as age, sedentary hours, exercise frequency, and medical history.
