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Kok Jin Wei

Kok Jin Wei

Data Analyst
Hougang New Town

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About Kok Jin Wei:

I am currently a Year 4 Data Science & Analytic undergraduate at National University of Singapore. I recently came across your firm’s post online regarding a full-time data scientist position. I am interested in pursuing a role as a Data Scientist and have enclosed my resume below. 

I am confident that I would be able to contribute to the team. A testimony to my programming skills and ability to formulate data-driven solutions, is my team winning 2nd runner up in the KANTAR-NUS DACC Data Science Hackathon, where we employed insights derived from customer demographics to then develop a customise media plan to engage the different customers. My time spent extracting, cleaning and transforming data has sparked my interest and curiosity towards learning more and improving my current skillset in data analytics. For a firm like yours, where data is abundant, I am thrilled to work with them to uncover insights. Furthermore, my experience in Facebook Ad Manager and PowerBI will be valuable at your firm where building a user-friendly visualisation dashboard is cruicial. Working for a social media marketing firm currently, I believe I will be able to value add to your team with my background knowledge in social media analystics. 

Furthermore, while working as a Migration Officer, I have honed my communication, negotiation, and interpersonal skills. These are crucial skills since I had to work with external merchants and clients frequently. I enjoy working in a team setting as I believe in combined effort and forming meaningful relationship with others. As such, I am confident that my skills and past experiences would allow me to excel as a Data Scientist in your company.

Experience

Data Analyst Intern 

• Scrape, clean and transform data from social media platforms like Instagram and Facebook. • Design PowerBI dashboard for clients to track their progress in hitting KPIs. • Enable clients to make data-driven decisions from insightful visualisations, resulting in efficient allocation of advertising budget and increase in purchase conversion value

Education

National University of Singapore Aug 2019 – Present Bachelor of Science (Honours), Data Science & Analytics Expected Graduation: May 2023 • CAP: 4.16/5.00 • Distinctions: Data Structures & Algorithm, Data Science in Practice

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