Driven Data Science and Business Economics student with expertise in statistical modelling, machine learning, and economic analysis. Proficient in Python, R, SQL, and data visualization, with experience in predictive modeling and working with large datasets. Skilled in translating complex data into actionable business insights. Passionate about AI, automation, and business intelligence, with a strong problem-solving mindset and a keen interest in real-world applications.
- Assist customers in selecting the right tools, materials, and hardware for DIY projects, renovations, and professional trade work by providing product recommendations based on their needs.
- Collaborate with team members and trade specialists in helping customers choose the right materials for construction and home improvement projects, including timber, cement, plaster, insulation, and roofing materials.
- Stock shelves, conduct inventory checks, and ensure proper labelling of products to maintain a well-organized and customer-friendly store environment.
- Developed an in-house AI-powered real estate image annotation system leveraging Azure OpenAI’s GPT-4o for structured feature detection.
- Designed and optimized detailed prompt engineering to ensure accurate labelling of architectural elements, improving feature identification consistency.
- Built an end-to-end pipeline that preprocesses real estate images, sends them to an LLM for analysis, extracts JSON-based labels, and overlays them on images with Python (PIL, OpenAI API, JSON, Base64, and Regex).
- Presented findings in technical reports and PowerPoint presentations, articulating key learnings, prompt optimizations, and performance improvements to internal stakeholders.
SQL
Python
R
Jupyter Notebook
Data Cleaning and preprocessing
Effective Communication
Economic Analysis
Quantitative Skills