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Industrial Industrial Information Technology Information Technology
System Implementation System Implementation
About me

As a dedicated Data Scientist with hands-on experience in open-source contributions, data mining, and digital twin development, I bring a strategic approach to data-driven decision-making. Recently, I completed the Google Data Analytics Professional Certificate, further enhancing my proficiency in statistical techniques, machine learning, and data visualisation. My ability to tackle diverse industry challenges and my expertise in tools like R, Azure, Power BI, NoSQL, Tableau, and PySpark underscore my commitment to driving efficiency and meaningful impact in the field of data science.

Data Mining Machine Learning Data Analysis SQL
Data AnalysisData MiningMachine LearningSQL
Jun, 2023
open source contributor
As an open source contributor at Ivy, I identified and resolved library issues, tested solutions locally, and executed Pull Requests. I also collaborated with the Ivy community to improve usability and functionality, enhancing my machine learning and programming expertise by 20%.
Apr, 2020
Dec, 2021
junior data scientist
Data-driven insights
Utilised data mining techniques and tools to optimise data streams, deriving valuable insights from complex datasets. Developed intuitive dashboards and graphics to represent data trends. Created a digital twin-based system to enhance plastic recycling services by 30%. Resolved industry difficulties such as diverse workforce management, increasing communication by 25%.
Key responsibilities Key responsibilities
  • Data Mining and Analysis
  • Time Series Analysis
  • Data Visualization
  • Digital Twins Development
Key achievements Key achievements
  • Optimised data streams
  • Created data trend graphics
  • Enhanced plastic recycling services
  • Increased communication
Nov, 2019
Mar, 2020
research intern
Environmental Protection
A highly experienced Pollution Control Officer with a proven track record of reducing vehicle emissions and improving reporting efficiency. Utilized Tableau and PowerBI to analyze data and create reports. Demonstrated an ability to collaborate with team members to find optimal solutions.
Key responsibilities Key responsibilities
  • Collaborating with team members
  • Finding optimal solutions
  • Reducing vehicle emissions
  • Utilizing Tableau and PowerBI
Key achievements Key achievements
  • Reduced vehicle emissions by 15%
  • Improved reporting efficiency by 10%
  • Analyzed data and created reports
  • Found optimal solutions
May, 2019
Sep, 2019
software engineer intern
Information TechnologyInformation Technology
Professional services
The Software Engineering Intern used PySpark and SQL for data cleaning, applied R Studio's Open-Air package for data visualization, identifying pollution trends, resulting in a 20% increase in efficiency. They gained expertise in Big Data analytics and task prioritization during their internship.
Key responsibilities Key responsibilities
  • Data cleaning
  • Data visualization
  • Identifying pollution trends
  • Task prioritization
Key achievements Key achievements
  • 20% increase in efficiency
  • Expertise in Big Data analytics
  • Applied R Studio's Open-Air package
  • Gained expertise in task prioritization