Nur Batrisyia Binti Zahrul Ali
Nur Batrisyia Binti Zahrul Ali
Learner - She / Her
(1)
31
Location
Kelowna, British Columbia, Canada
Portals

Skills

Data analysis 1 Project evaluation 1 Quality assurance 1 Software testing 1 Usability testing 1 User experience (ux) 1

Achievements

Latest feedback

Recent projects

Work experience

Retail Sales Assistant
The Body Shop
Kelowna, British Columbia, Canada
September 2023 - July 2024

● Utilized customer data insights to provide expert product recommendations, improving customer satisfaction
and driving sales.
● Proactively engaged with customers, identifying patterns in their needs and translating them into actionable
product suggestions to meet their demands.
● Achieved top salesperson status for several months by effectively analyzing customer preferences and behavior,
successfully converting the highest number of customers into our loyalty program, and driving customer
retention and repeat customers.
● Collaborated with store management to support data-driven sales strategies and meet monthly targets,
contributing to store profitability.
● Assisted in various operational tasks such as inventory restocking and product display optimization, incurring
efficient workflow through strong time management and process coordination.
● Gained extensive product knowledge, which was used to educate customers on the ethical sourcing and
sustainability aspects of our products, enhancing brand loyalty and customer engagement.

Education

Bachelor of Science, Data Science
University of British Columbia
September 2022 - June 2026

Personal projects

Telco Customer Churn Analysis

● Analyzed a customer churn dataset using R to identify key drivers for customer attrition in a
telecommunications company.
● Developed predictive models using logistic regression and decision trees to classify high-risk customers,
achieving an accuracy of 85%.
● Visualized trends and insights to present actionable recommendations, including improving customer retention
strategies.
● Collaborated with a team to optimize data preprocessing workflows and build efficient pipelines for data
analysis