Hi, I’m Khye Shen Tan—a curious developer who enjoys turning messy data into clean, usable tools. I’ve built inventory systems, analyzed delivery data, and created web apps to empower volunteers and teams. I’ve completed a BSc in Computing and Software Systems at The University of Melbourne, with a focus on AI, machine learning, and user-centered design. I love building practical solutions that people enjoy using.

Khye Shen Tan

Hi, I’m Khye Shen Tan—a curious developer who enjoys turning messy data into clean, usable tools. I’ve built inventory systems, analyzed delivery data, and created web apps to empower volunteers and teams. I’ve completed a BSc in Computing and Software Systems at The University of Melbourne, with a focus on AI, machine learning, and user-centered design. I love building practical solutions that people enjoy using.

Available to hire

Hi, I’m Khye Shen Tan—a curious developer who enjoys turning messy data into clean, usable tools. I’ve built inventory systems, analyzed delivery data, and created web apps to empower volunteers and teams.

I’ve completed a BSc in Computing and Software Systems at The University of Melbourne, with a focus on AI, machine learning, and user-centered design. I love building practical solutions that people enjoy using.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Intern – Systems & Data at Medical Pantry
March 1, 2025 - June 1, 2025
Designed a streamlined inventory and warehouse layout system, improving stock categorization and ease of use for volunteers. Converted the inventory process into a web application enabling volunteers to scan medical supplies and automatically identify the correct storage boxes.
Intern – Data & Logistics Analysis at Lapisan
March 1, 2025 - May 1, 2025
Designed structured spreadsheets to collect and standardize data on truck deliveries, outlets, and order volumes; parsed and analyzed delivery data to identify co-occurrence and routing trends between delivery locations; supported development of an algorithmic approach to grouping delivery outlets, improving truck utilization and route efficiency.
Intern – Data Analyst at Job Street
January 1, 2020 - January 1, 2020
Utilized Python and pandas to parse, clean, and analyze datasets; calculated expected values and performed statistical analysis to extract meaningful insights. Additionally assisted in data visualization and reporting to support decision-making processes.

Education

Bachelor of Science at The University of Melbourne
February 1, 2022 - December 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Media & Entertainment, Professional Services