Jean hui Low

A data enthusiast with science knowledge, blending analytical skills with a passion in data field. Completed a self-driven virtual internship with British Airways, applying Python, Natural Language Processing (NLP) and Machine Learning. Demonstrates a capacity to merge scientific knowledge with practical data applications, bringing a unique perspective to problem-solving. Actively seeking opportunities to contribute and thrive in dynamic data-driven environments.

1. Business Analyst Intern (10/2023 - 01/2024)

ZALORA - KUALA LUMPUR, MALAYSIA

-Web scraped 1000 beauty products using Power Automate and Selenium, resulting in a 75% reduction in time spent.
-Conducted market research within the beauty category across various competitors’ platform, surpassing sales targets by 20% across APAC region during 11.11 megaday event.

-Improved the purchase conversion rate (CR) by 2% through enhancements to the product landing page.
-Led a specialized team in orchestrating a successful event, demonstrating effective collaboration and achieving predetermined objectives. 

-Contributed to 2024 event planning and outlined strategic initiatives. 

-Facilitated weekly event progression by implementing strategic deadline management, enhancing team efficiency.

2.Intern - Future Food and Protein (09/2021 - 02/2022)

NOVOZYMES - KUALA LUMPUR, MALAYSIA

-Provided timely and quality technical support for enzymatic applications, including new product development, product relaunch and variant extension, to consumers within the SEA region.
Conducted sample analysis using laboratory equipment and interpreted the raw data.

-Produced clear and concise reports summarizing experiments and assisting in creating visual aids, graphs, and presentations for research findings.
-Performed regular calibration, maintenance, and performance assessments on laboratory equipment to ensure the accuracy of the collected data. 

-Shared insights and observations during team meetings and brainstorming sessions, contributing to collaborative problem-solving and decision- making.

SIDE PROJECTS

BRITISH AIRWAYS Data Science Job Simulation - Virtual Internship

-Scraped 3000 customer reviews from online sources using Beautiful Soup and applied data cleaning techniques to ensure data readiness for analysis.
-Conducted comprehensive text analysis using sentiment analysis, topic modeling, and generated word clouds, revealing 4 distinct topics relevant for diagnostic and predictive analytics

-Built a predictive model using supervised machine learning to better understand the influential factors driving customer buying behavior. 

-Prepared insightful and easily comprehensible data visualizations in a PowerPoint presentation, summarising findings concisely within 1 slide.

MONASH UNIVERSITY - SUBANG JAYA, MALAYSIA (07/2019 - 12/2022)

Bachelor of Food Science And Technology

Activities and societies: Monash Business Club, Monash Table Tennis Club, Monash Captain ball Club, Sun-U Muay Thai Club
Achievement: Year 2 individual top scorer in Food Bowl Quiz (2020) Facilitator of orientation week (2021)