
Tan Yu Xun
Education / Training
About Tan Yu Xun:
Aspiring data analyst with 5+ years of experience in analysing large datasets, developing statistical models, and providing actionable insights to drive business decisions. Proficient in SQL, Python, and R, with a solid understanding of machine learning algorithms and data visualization techniques. Seeking a challenging and stimulating role in an organization where I can utilize my skills and experience to contribute to its success.
Experience
Research and Teaching Assistant Aug 2016 to Oct 2020
Nanyang Technological University
- Designed and implemented survey/interview questions for a large-scale research project on integration.
- Created numerous teaching resources and study materials to facilitate understanding and learning.
- Conducted and facilitated classroom discussions and group activities using interactive platforms such as Kahoot! and Canvas.
- Assisted in the conceptualisation and implementation of student research projects.
General Education Officer Dec 2015 to Aug 2016
Ministry of Education
- Developed and structured specific weekly lesson plans aligned with key educational objectives.
- Planned, organised, and supported school events and activities successfully.
- Designed and developed instructional materials and assessments both independently and collaboratively.
- Evaluated student performance and communicated feedback effectively and concisely to students, parents, and stakeholders.
Education
Rise 2.0 Data Analytics Bootcamp Nov 2022 to Current
Boston Consulting Group
- Built and designed interactive dashboards (Tableau, PowerBI) to generate business insights and support data-driven decision making.
- Completed several exploratory data analysis projects in SQL, informing strategic decision-making by identifying KPIs and trends.
- Analysed and visualized large datasets using Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly etc.
- Developed and implemented a data-driven predictive model for diabetes progression, using Python, pandas, and scikit-learn for data pre-processing, feature engineering, and machine learning model selection.
Data Science and Artificial Intelligence Program Jan to Jul 2021
International Business Machines (IBM)
- Cleaned and transformed large datasets for exploratory analysis using Python, greatly minimising processing time and improving workflow efficiency.
- Led a team in successfully developing statistical models in predicting heart disease, using regression techniques and machine learning algorithms, achieving a 91% accuracy.
- Helped construct a complaints classifier using Python and NLP techniques such as sentiment analysis, stemming, lemmatisation, TD-IDF etc.
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