This is a repository that I have created to share my skills, projects and track my progress in Data Science related topics.
Hi, I’m Abigail! I have an analytical background in Biochemistry and currently pursuing a Master’s in Data Science, I have acquired a strong foundation in life sciences and a genuine passion for utilizing data to unveil meaningful insights. I am excited to bring my analytical and technical skills to the field of data science as an entry-level Data Scientist.
As I continue to progress in my studies, I have enhanced my ability to work with complex data and developed a keen eye for identifying trends and patterns. I also have experience in laboratory techniques, statistical analysis, and data management, which I believe will be valuable skills in my role as a data scientist.
At leisure, I enjoy exploring new data analysis techniques and tools, and I am always seeking for opportunities to expand my skills and knowledge. Whether working as an individual or team player, I am driven by the thrill of discovering new insights and satisfaction of using data to solve complex problems.
My CV in pdf
This is a repository to track my progress in Data Science related topics, as well as show casing shared projects and skills.
This section briefly describes how technology stack was used to solve data science projects.
Code: Data Exploration and Dashboard Creation: Bike Buyers.xlsx
Goal: To create a dashboard
Description: This dataset contains a list of bike buyers. This project includes the following processes: data loading, data cleaning, and data preporcessing.
Skills: Removing Duplicates, Find & Replace, Currency, IF Function, Nested IF Function, Pivot Table, Slicer Function.
Technology: Microsoft Excel
Goal: The major aim of this project is to gain insight into the sales data of Walmart to understand the different factors that affect sales of the different branches.
Code: Data Cleaning and Exploratory Data Analysis: Walmart Sales.sql
Description: This dataset was obtained from the Kaggle Walmart Sales Forecasting Competition. It contains sales transactions from three different branches of Walmart, respectively located in Mandalay, Yangon and Naypyitaw. The data contains 17 columns and 1000 rows. This project includes the following steps: data loading, data cleaning and preprocessing and EDA (exploratory data analysis).
Skills: Data Wrangling, Feature Engineering, Exploratory Data Analysis.
Technology: MYSQL
Goal: The aim of this project is to clean the clean the data to check/remove duplicates, standardise data/fix errors, look at null values, and remove unwanted rows/columns.
Code: Data Cleaning Project : World Layoffs.sql
Description: This dataset contains records of tech companies that have been laid off due to COVID-19 pandemic between 2020 and 2024. This project includes the following steps: data loading, data cleaning, preprocessing.
Skills: DML(Data Manipulation Language), DQL (Data Query Language), DDL (Data Definition Language).
Technology: MYSQL
University of Aberdeen, Scotland MSc Data Science January 2023 – July 2025
Ulster University, Northern Ireland Biomedical Science Graduate Certificate October 2018 – May 2019
University of Westminster, London BSc (Hons) Biochemistry (2:1) September 2013 – July 2016
City and Islington College, London Access to Medicine and Medical Biosciences (Distinction) September 2012– July 2013
Learn IT Advanced Excel Certificate In view 2024
Pitman Training Literacy Certificate January 2012 – February 2012
Pitman Training ECDL Certificate November 2011- January 2012