Machine Learning Intern
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Data and analytics professional with strong foundations in AI/ML, experienced in translating data-driven insights into business, operational and strategic outcomes. Focused on product analytics, AI-enabled transformation and programme management roles.
Python, R, SQL (PostgreSQL, MySQL), Java, C, C++, MATLAB, JavaScript, scikit-learn, TensorFlow, PyTorch, XGBoost, NLP, LLMs (LLaMA, Qwen), Model Fine-tuning, Prompt Engineering, Data pipeline development, ETL, Data Visualisation (Tableau, Power BI, Matplotlib, Seaborn), Feature Engineering, Time Series Analysis, Docker, FastAPI, vLLM, Git, API Development, Model Deployment, AWS, Google Cloud, Azure, Jupyter, Power Automate, Excel (VBA, Macros, DAX), Selenium, BeautifulSoup
Final year Bachelor of Computing in Data Science and Artificial Intelligence at Nanyang Technological University. I have hands-on experience delivering end-to-end analytics and AI solutions across public sector and industry roles, including building data pipelines, deploying and fine-tuning large language models, automating reporting workflows and improving data quality and performance. My work spans product analytics, operational analytics and applied machine learning, with a focus on translating technical insights into practical business and operational outcomes.
I am comfortable working with a wide range of tools across data engineering, cloud platforms and analytics, and I bring strong stakeholder management, problem-solving and communication skills to cross-functional teams.
Nanyang Technological University; BSc (Hons) Data Science & Artificial Intelligence with a Minor in Risk Analytics
Expected Grade: 1st Class Honours
