Ting Chen
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Ting Chen Email & Phone Number

Senior Data Scientist at Quantium
Location: Melbourne, Victoria, Australia 7 work roles 2 schools
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Current company
Role
Senior Data Scientist
Location
Melbourne, Victoria, Australia
Company size

Who is Ting Chen? Overview

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Quick answer

Ting Chen is listed as Senior Data Scientist at Quantium, a with 795 employees, based in Melbourne, Victoria, Australia. AeroLeads shows a matched LinkedIn profile for Ting Chen.

Ting Chen previously worked as Data Scientist at Quantium and Associate Data Scientist at Quantium. Ting Chen holds Master Of Business Analytics, First Class from Melbourne Business School.

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Email format at Quantium

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Quantium

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Profile bio

About Ting Chen

Data Science and Analytics consultant experienced in leveraging Advanced Analytics to drive commercial value for clients across Banking, Retail and Telco industries. I have extensive experience in designing, implementing, and maintaining Advanced Analytics solutions on cloud platforms. My expertise spans statistical modelling, machine learning, process optimization, and crafting data-driven strategies.

Listed skills include Python, Teamwork, Predictive Analytics, R, and 13 others.

Current workplace

Ting Chen's current company

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Quantium
Quantium
Senior Data Scientist
australia
Website
Employees
795
AeroLeads page
7 roles

Ting Chen work experience

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Senior Data Scientist

Current
Apr 2024 - Present

Data Scientist

Telstra | Customer Experience Improvement• Developed an AI-powered product that measure and understand perceived customer experience at scale. Built a Gradient Boosting Model to assess perceived customer experience across the full base and provide insights on drivers of customer experience. Promoted effective use of the product across various business units to inform network investment decisions, drive proactive remediation and optimize targeted marketing efforts.• Tools: Gradient… Show more Telstra | Customer Experience Improvement• Developed an AI-powered product that measure and understand perceived customer experience at scale. Built a Gradient Boosting Model to assess perceived customer experience across the full base and provide insights on drivers of customer experience. Promoted effective use of the product across various business units to inform network investment decisions, drive proactive remediation and optimize targeted marketing efforts.• Tools: Gradient Boosting Model (GBM), AWS, Python, SQL, Git Show less

Feb 2023 - Mar 2024

Associate Data Scientist

Woolworths | Pricing & Promotion Optimisation• Implemented a promotion effectiveness measurement tool for Woolworths Fresh department. Leveraged time-series modelling to assess promotion uplifts and provide insights into demand transfer and sales cannibalization. Promoted effective use of the tool to understand the sales and profit impacts of past promotions, empowering category managers to optimize pricing and investment decisions and unlock incremental profits.• Tools: Time-series… Show more Woolworths | Pricing & Promotion Optimisation• Implemented a promotion effectiveness measurement tool for Woolworths Fresh department. Leveraged time-series modelling to assess promotion uplifts and provide insights into demand transfer and sales cannibalization. Promoted effective use of the tool to understand the sales and profit impacts of past promotions, empowering category managers to optimize pricing and investment decisions and unlock incremental profits.• Tools: Time-series forecasting, Google Cloud Platform (GCP), Tableau, Python, SQL, GitWoolworths | Customer Analytics• Leveraged customer data to provide insights on evolving customer behaviour and financial impacts from key initiatives - Everyday Market platform, Woolworths Staff Benefits program, Christmas and Easter promotion campaigns, Woolworths recipes. These insights informed decisions across Strategy, Marketing, Products, and Customer Loyalty.• Tools: Experiment Design, Google Cloud Platform (GCP), Python, SQL, Git Show less

Dec 2021 - Feb 2023

Data Scientist

Anz

Melbourne, Victoria, Australia

Home Lending Assessment Optimisation• Developed and productionised a XGBoost model to discern high quality applications with 89% accuracy. The model streamlines 10% of daily applications, expediting decisions with minimal manual intervention, leading to backlog reduction, accelerated customer feedback, and higher throughput.• Tools: Experiment Design, Gradient Boosting Model (GBM), Random Forest Model, Teradata, MSSQL, Python, SQL, Git

Jan 2021 - Dec 2021

Data Science Intern

Anz

Melbourne, Victoria, Australia

Business Lending Queue Optimisation• Developed a proof-of-concept model to predict loan processing time, aiming to automate application allocation to optimize efficiency. Presented findings on key factors impacting turnaround time and advocated for automatic allocation to the Business Lending leadership team, resulting in sponsorship for full model development and deployment.• Tools: Generalised Linear Model, Teradata, MSSQL, Python, SQL, Git

Oct 2020 - Dec 2020

Assurance Intern

Ey

Singapore

Dec 2018 - Feb 2019

Management Consulting Intern

Human Resource Process ImprovementLeveraged analytics to drive insights on attrition trends and employee sentiment towards giving feedback, recommended a 360-degree feedback process design and advised its practicality in relation to sensitivity of feedback, use of technology and data security. Overcame tight project timeline and successfully drove buy-in from senior executives for implementation.

Jun 2018 - Jul 2018
Team & coworkers

Colleagues at Quantium

Other employees you can reach at quantium.com.au. View company contacts for 795 employees →

2 education records

Ting Chen education

Master Of Business Analytics, First Class

Tools: Python, R, SQL, Spark and Tableau Skills & Techniques: Data warehousing, Statistical modelling, Machine learning, Causal analytics.

Bachelor Of Commerce - Bcom, Accounting And Finance

Activities and Societies: International Students Commerce Society, Marketing Intelligence Club Recipient of Melbourne Mobility Award

FAQ

Frequently asked questions about Ting Chen

Quick answers generated from the profile data available on this page.

What company does Ting Chen work for?

Ting Chen works for Quantium.

What is Ting Chen's role at Quantium?

Ting Chen is listed as Senior Data Scientist at Quantium.

Where is Ting Chen based?

Ting Chen is based in Melbourne, Victoria, Australia while working with Quantium.

What companies has Ting Chen worked for?

Ting Chen has worked for Quantium, Anz, Ey, and Grant Thornton Singapore.

Who are Ting Chen's colleagues at Quantium?

Ting Chen's colleagues at Quantium include Darcy M., Nikhil Sud, Heidi Lee, Simesha Govender, and Luke Sluyter.

How can I contact Ting Chen?

You can use AeroLeads to view verified contact signals for Ting Chen at Quantium, including work email, phone, and LinkedIn data when available.

What schools did Ting Chen attend?

Ting Chen holds Master Of Business Analytics, First Class from Melbourne Business School.

What skills is Ting Chen known for?

Ting Chen is listed with skills including Python, Teamwork, Predictive Analytics, R, Microsoft Excel, Linear Programming, Scala, and Negotiation.

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