Singapore

Data Scientist

Functional Consultant

Quy Nguyen

Principal Data Scientist

Data mining

Introduce yourself, define mentoring expectations and goals. Learn and grow together.

General mentorship

Get actionable feedback on your resume or portfolio.

Resume and portfolio review

How to set up the team for success by defining and measuring team's performance.

Choosing metrics and team goals

Steps to building and maintaining a strong, cohesive and effective team.

Building an effective team

How to think about design career paths and what progression looks like for designers?

Design career path

Develop models & Manage a high-performing team of 4 data scientists.  Key achievements: 
* GenAI Task Force: 
- Enhanced email personalization by developing LLM evaluation framework with RAG architecture, improving user engagement metrics - XX% click through rate (CTR) increased.
- Enhanced customer segmentation with GenAI by age tagging, increase XX% of customer identification.
- Customer satisfaction: Reduce XX % of customer complaints Zendesk tickets using large language models (LLM) on NPS (Net Promoter Score) from surveys to identify the root causes, provide operations actionable suggestions and influence product roadmap.
- Recommendation system with Multimodal LLM: increase average over value (AOV) by X% with prompt engineering and Retrieval Augmented Generation (RAG).
* Predictive Analytic: 
- Customer Loyalty: Recommend senior leaders with actionable insights by simulating impact and analyzing online/offline behavior from Google Analytics/Amplitude/Segment and collaborating across business functions to build loyalty point frameworks that nudge lookalike customers to transact across vertical.
- Revenue science: Customer, marketing and pricing analysis to drive  engagement, conversion and generate XX millions revenue.  
- Media monetization: Enable X millions revenue by predicting leads, matching the right consumers (new and loyal customers) to FairPrice Retail suppliers and brands.
- Operational excellence: influence business leaders with insights from store performance (inventory) analysis, first-mile, last-mile delivery optimization to increase XX unit picked per hour, improve fulfilment speed and reduce cost per order.

Lead personalization initiatives at the centre of excellence by working with cross-functional teams from different business units in NTUC Enterprise, especially groceries via online and Omni channels.
Key achievements:  
- Recommender Platform: built an in-house personalization platform that outperform external SaaS, for example, replaced SaaS Insider with XX% uplift in conversion rate. 
- Pricing: identify key-value items (price index), under-index products for marketing, match competitors prices, voucher distribution with XX% uplift in click-through rate.
- Break down large data science initiatives into pieces to deliver incremental business value. Conceptualize, build prototype,  and lead the team to execute projects. 
- Communicate & coordinate with product managers from browsing/CRM/Marketing teams to plan OKR, KPI, R&D projects for my team.
- Collaborate with machine learning engineers to deliver API, design reusable data & features.
- Hire, mentor, lead data scientists by example with code review, analysis review; train interns with end 2 end MLOps: machine learning, validation, documentation, monitoring model performance/data drift, building dashboards.
-  Research and identify opportunities in the data to add in product roadmap.

- Personalization: Product ranking, search boosting: contribute X% uplift in add to cart rate at multiple pages such as search results, category pages using common features of customers' long-term/short-term preferences.
- Loyalty: bring back X% of Fairprice churning customers, improve on multiple metrics such as frequency,  conversion, and spending.
- Customer engagement and email direct marketing: Mixed category propensity model reduces unsubscribe rate and increases conversion/average order value (AOV) by X% compared to the existing machine learning model.

Achieved positive uplift on various metrics in e-commerce: gross merchandise volume(GMV), buyers click-through rate (CTR), sellers/retail store traffic, voucher return on investment (ROI).
+ Built data pipelines, models, A/B test, traffic allocation strategies for multiple real-time large scale personalization system for mega sales event: Double 9, Double 11, Double 12, CTR increased by X%.
+ Mentored interns, junior data scientists/machine learning engineers in coding, testing, and modeling best practices.
+ Helped build strong platform mindset, build shareable, reusable data features for other team members, improve the productivity of the team.
+ Collaborated with many teams, delivered highly impactful projects in Alibaba Globalization strategy.

Increased XX% year over year in engagement growth:
- Migrating recommendation system of  Lazada, a division of Alibaba Group to Alibaba Cloud. 
- Implemented sophisticated personalization strategies from Taobao E-commerce (using Parameter Server for Distributed Machine Learning, Wide&Deep Learning Model).

B2C:
+ Customer profile and segmentation, add X% more data points.
+ Personalization platform: product and seller recommendation system for Lazada campaigns (birthday campaign Year Over Year CTR increased by X%.)
B2B: Seller lead scoring, correctly find X% of sellers who have monthly sales grow in the future.

Enabled the company to win X major partnerships by building solutions with text mining, information retrieval technologies: 
- Extracted product attributes (category, manufacturer...), business information (industry, location, revenue, product line...) from Wikipedia, improved fill-rate for internal data on the restaurant domain by X% using Name Entity Recognition (NER), Natural Language Processing (NLP)
- Built API chatbot on restaurant domain,  answer questions which have complex combination of restaurant's attributes, won the internal hackathon. 
- Built product graph and content-based recommendation system using Solr for matching and ranking proof of concept (POC) which helped company won partnerships with X clients. 
- Practiced and promoted engineering culture by writing documents, details comments on Jira, rotating team members to become scrum master to practice leader role among the team.

Improved advertising platform performance in click-through-rate by XX%. 
Conducted research, built predictive models from multiple data sources, developed advanced algorithms that extract and classify information from large datasets. Played a key role in applying data mining techniques on user behavior to build following systems: 
- Marketing and Advertisement Analysis. Created ad targeting on ad smart adnetwork Eclick which drove advertising messages of advertising buyer to target audiences: http://eclick.vn/#!/en/about. 
- Presented users as vector of reading interest, use LDA to infer reading topics.
- Clustered users (use bisect kmean) into different groups for retargeting.
- Audience 360 view: presented audience characteristics for advertiser by visualizing user's interest, demographic and daily/hourly activities. 
- Built news recommender system on one of the most common Vietnamese online newspaper: http://vnexpress.net/ (Implemented Google news strategy)
- Created music recommender system on http://nhacso.net/ (Use Mahout)

Customer profiling, segmentation, provided visualization and insights into product development, applications traffic growth, user's loyalty.

Researched algorithms to apply on Vietnamese social network Zingme (http://me.zing.vn/) including Game Suggestions, Graph mining, Sentiment analysis, User Behavior Analytic.

Mini game recommendation system for ZingMe-the largest Vietnamese social network.

Tuba Kırca

Senior Software Consultant

Jackson Liew

Associate Consultant

Yi Wen Wang

Student

Hoang-Long Tran

Data Science Student

Cassye Durkee

Calvin Tan

Master's Student (Business Analytics)

Mentorship Session

In this session we will getting to know each other by share what we do, our expertises, and what exciting projects we're working on. By the end, we will have a better idea of our own strengths and how we can work together.

Introduction

In these series, we will learn to create a standout portfolio that impresses potential clients and employers. Through personalized guidance, we'll help you showcase your best work and highlight your unique skills and talents. Learn to tell a compelling story through your portfolio and present yourself as a creative force in your field. This mentorship will equip you with the tools to elevate your career and open doors to exciting opportunities.

Craft Your Portfolio

In these mentorship sessions, gain the skills and confidence to answer challenging questions, demonstrate your expertise, and leave a lasting impression. We'll conduct mock interviews, provide personalized feedback, and equip you with effective interview techniques. Join this mentorship to excel in job interviews and land your desired position.

Conquering Job Interviews

Take a holistic approach to your career with this mentorship series. Learn to build a career roadmap that aligns with your goals and aspirations. From identifying skill gaps to exploring potential career paths, we'll provide insights to support your long-term success. Our mentorship will help you make informed decisions and set a solid foundation for a fulfilling career journey.

Quy Nguyen🇸🇬

About Quy Nguyen

Expertise

Sessions with Quy Nguyen

What mentees say