A quick introduction about myself.
I stumbled into data science field while undergoing my internship as a BSc. Marketing undergrad. After conducting a deliberate research, I became passionate about data science and decided to pursue my master in this field.
Currently pursuing MSc. Business Analytics at The University of Manchester, I aspire to become a data scientist who helps solve business problems through data analytics along with my marketing knowledge.
In the past year, I have gained essential data science knowledge including data analysis with Python, R and SQL, statistical modelling, machine learning techniques, operational research and more. Soon to be a masters graduate, I am now ready to partake my first data scientist role.
My Expertise
Data Analysis
Data preprocessing, Exploratory Data Analysis (EDA), statistical analysis, predictive modelling, data visualization, and decision making.
Front End
Web development and responsive web design using HTML5, CSS3, and CMS such as WordPress, Elementor and WooCommerce.
Digital Marketing
Social media marketing and multi-platform online advertising through Facebook Business Manager, and Google Ads.
Skills & Tools
Python
Familiar with libraries including Pandas, Numpy, Scikit-Learn, Seaborn, Matplotlib, Plotly, BeautifulSoup, Selenium.
R
Able to perform statistical analysis, modelling, and visualization using ggplot2.
SQL
Build database using SQLite. Create, modify and delete data through SQL or Python.
Tableau
Data pre-processing, table calculation, visualization, and dashboard building.
HTML5
Build website through HTML5 and other CMS such as Wordpress, as well as tools like Elementor and WooCommerce.
CSS3
Integration with HTML file for styling or creating responsive website.
Facebook Business Manager
Online advertising (Facebook, Instagram & Messenger), events tracking (Facebook Pixel) and remarketing.
Google Ads
Experience in Search and Display network campaign, conversion tracking, and budget optimization.
Projects & Portfolios
Iris Dataset
Demonstrating data reduction through Principal Component Analysis (PCA).
Boston Housing-Price Dataset
Build, visualize and compare tree-based machine learning model including decision tree, random forest and gradient boosting through Scikit-Learn.
E-Commerce Web Scraping
Scrape E-commerce product page through Selenium.
Web Development
Build a website for a pseudo phone case online shop using HTML and CSS. Visit GitHub for project files.