Singapore, Singapore
Hello! I'm a Data Science & Analytics graduate from NUS with experience in data analysis and providing insights to influence decisions. My experience includes creating dashboards to track performance metrics, as well as end-to-end machine learning pipelines to predict customer behaviour for a platform servicing over 500,000 customers in Indonesia, as well as analysing AI-powered customer service solutions to influence an utilities company's technology roadmap and improve customer experience for over 780,000 customers. I am interested in building data pipelines, applied machine learning, implementing AI solutions and performing analysis to deliver meaningful impact at scale. Feel free to reach out about AI/ML, emerging technologies, data analysis or badminton!
TNB Protege-Ready to Work Programme 2026
Modules taught: CS1010S - Programming Methodology - AY2023/24 Semester 1 - AY2023/24 Semester 2 - AY2024/25 Semester 1 - AY2025/26 Semester 1 CS2030 - Programming Methodology II - AY2025/26 Semester 1 - Engaged between 12-17 students each semester in tutorial classes on computational thinking and programming concepts using Python and Java; included timely provision of detailed feedback on students' assignments, with consistent teaching feedback score of 4/5 and above. - Partnered with a team of 10+ other Student Tutors to provide comprehensive solutions to questions from more than 557 students in cross-group coordination. - Revised course curriculum for CS1010S together with other tutors, coordinating with professors to simplify content delivery, and refining scripts to automatically grade coding questions.
Taught computational thinking and programming concepts in Python and Java to a class of 15 students each semester; provided personalised feedback to ensure students met learning outcomes, with consistent teaching feedback score of 4/5 and above. Collaborated in a team of 30 Student Tutors to provide comprehensive solutions to questions from over 1,500 students across four semesters in cross-group coordination. Revised course curriculum in collaboration with tutors and professors to simplify content delivery, writing tests to grade coding questions and streamline grading process with CircleCI.
· Developed 10+ dashboards on Metabase and SQL queries to automate reporting of trends and insights to stakeholders to support data-driven decision-making across 3 cross-functional teams. · Standardised 15+ features across trading, funding and session data using SQL and dbt (data build tool) to conduct quantitative analysis, ensuring data quality and supporting predictive modelling. · Maintained end-to-end data pipelines with dbt and Python to process and consolidate data for 500k+ customers to load onto Amazon Redshift for downstream analysis. · Developed statistical machine learning model (built using scikit-learn and FastAPI) to model customer lifetime value, applying behavioural feature engineering across transaction, funding and session data to achieve increased LTV:CAC ratio and contribute to revenue growth from $4M to $8M. · Built automated data collection pipeline in Python (using Requests and BeautifulSoup) and JavaScript (using Puppeteer) to consolidate foreign exchange rate data into Google Sheets over a period of 2 months, supporting competitor analysis for a platform of 500k+ customers.
Developed 12 dashboards on Metabase and SQL queries to automate reporting of trends and insights to stakeholders to support data-driven decision-making across 3 cross-functional teams. Standardised 15 features across trading, funding and session data using SQL and dbt (data build tool) to conduct quantitative analysis, ensuring data quality and supporting predictive modelling. Maintained end-to-end data pipelines with dbt and Python to process and consolidate data for 500k+ customers to load onto Amazon Redshift for downstream analysis. Developed statistical machine learning model in Python to predict customer lifetime value, engineering features using transaction, funding and session data to contribute to $4M to $8M revenue growth.