Nadia Anuar
Data analyst with 1+ year of experience performing data analysis tasks and building dashboards/reports in agile fintech and service marketplace companies.
5-month industrial training as a data science intern at DHL Asia Pacific Innovation Centre.
4+ years of management/administration experience in retail.
Portfolio
Machine Learning Projects
Inventory Segmentation Using Descriptive Analysis and Clustering
Conducted a research that analyzes real industry data in logistics using a machine learning approach to perform inventory segmentation in warehouses for an efficient outbound process.
Sentiment Analysis of Amazon Fine Food Review
Cleaned and processed large amount of text data from Amazon website and built classification and clustering models to analyze the sentiment of fine food reviews.
Business Intelligence and Analytics Projects
Labour Force in Malaysia Analysis Dashboard
Built an interactive dashboard that visualizes the key statistics of unemployment, education and crime rates in Malaysia for the year 1982 – 2020.
Other Projects
Market Basket Analysis of Retail Data
Conducted a market basket analysis case study on an online retail dataset from UCI Machine Learning Repository which contains transactions occurring between 01/12/2010 and 09/12/2011.
Data Governance Case Study: SarawakPay
Conducted a data governance case study on a fintech company, i.e., SarawakPay, which is a part of Sarawak state five-year transformation plan into becoming a smart city.
E-Commerce Platform and Architecture Solution
Devised an architectural solution for a data-driven e-commerce platform that incorporates prescriptive and predictive analytics and machine learning.