Summary
Overview
Work History
Education
Technical skill
Timeline
Generic

Qing Liu

Montreal,Canada

Summary

Experienced Data Scientist with over 10 years of expertise in machine learning modeling and data analytics, including 5+ years in project leadership roles. Skilled in implementing and scaling machine learning models in production environments using Python, R, Spark, TensorFlow, and SQL. Experience across different industries and be proficient in developing ML/AI models to address complex business challenges, with a strong focus on delivering actionable insights and driving innovation. Experienced in leading cross-functional teams and collaborating with stakeholders to achieve strategic goals.

Overview

15
15
years of professional experience
7
7
years of post-secondary education

Work History

Senior Data Scientist

IVADO Labs
05.2022 - Current
  • Developed ML/AI methodologies for predictive maintenance project based on 7000+ signals with high frequency collected from aircraft.
  • Guided stakeholders to initialize and modify roadmap of projects using data analytics and business requests.
  • Set up MLops pipeline and collaborated with stakeholders to define label collection process and model validation process.
  • Worked closely with data engineering team to implement multiple ML models in production pipeline.
  • Interviewed data scientist candidates, evaluated potential third party partners by providing data science suggestions

Course Mentor

McCombs School of Business, The University of Texas at Austin & Great Learning
06.2021 - Current
  • Mentored students in AI/ML course, providing guidance on ML/AI concepts and real-world projects.
  • Prepared course content to enhance students' understanding of ML/AI concepts.
  • Led walkthroughs of end-to-end projects based on real industry cases.
  • Engaged in discussions with experienced learners about their projects, providing potential solutions based on ML/AI concepts.
  • Assisted learners in diving into data analytics and consolidating their programming skills to solve data science problems.

AI Scientist III

IQVIA
6 2021 - 05.2022
  • Developed ML/AI models to predict physician and patient behaviors, enabling creation of effective strategies for promoting medicine productions.
  • Generalized ML/AI models across all provinces and most products by building robust data science pipeline.
  • Consolidated multiple data resources onto BDF (Big Data Factory) platform using various languages and tools.
  • Designed and built AB-testing for certain clients to validate their marketing strategies.
  • Supported consulting team by defining key metrics and providing ad-hoc analysis.
  • Provided coaching, mentorship, and guidance to junior data scientists to foster their professional development.

Senior Data Scientist

Canadian National Railway, CN
12.2020 - 05.2021
  • Led commodities project to predict carload, achieving 22% increase in accuracy.
  • Initiated lubricators optimization project, collaborating with stakeholders to define project scope and address business challenges.
  • Contributed to implementation of MLops system in Azure environment.

Data Scientist

Shutterstock
11.2019 - 12.2020
  • Developed and implemented an image quality model based on computer vision transfer learning to support the Image Content team, resulting in19% decrease in cost of image review process.
  • Developed predictive models to forecast conversions (activation, retention, and monetization) and interpreted customer behaviors based on customer journey data.

Data Scientist

Quanticmind Inc
11.2016 - 11.2019
  • Developed and deployed predictive models for conversion rate and RPC (revenue per click) across millions of keywords, resulting in a 28% decrease in Weighted MAE.
  • Implemented an optimization method (BFGS) to calculate optimal bidding prices, aligning with ROI targets and budget constraints to maximize revenue.

Risk Management Analyst

China Guangfa Bank
01.2009 - 11.2011
  • Utilized advanced statistical techniques and machine learning algorithms to analyze data and build predictive models that enable informed decision-making in credit risk
  • Developed optimization strategies to determine appropriate credit limits for customers, balancing risk mitigation with customer satisfaction and business objectives

Education

Master of Science - Statistics

Queen's University
09.2013 - 05.2015

Master of Economics -

Sun Yat-sen University
09.2007 - 05.2009

Bachelor of Economics -

Tianjin University of Finance
09.2002 - 05.2006

Technical skill

  • Languages: Python, R, Linux command ,Spark (SparkR, PySpark), MySql, SAS;
  • Libraries: Scikit-Learn, Keras, TensorFlow, NumPy, SciPy, MLflow, Pandas, Prophet, Matplotlib;
  • Data Science: Predictive modeling, Model evaluation, Machine learning, Optimization;
  • Data Analytics: performance diagnosis, data mining and data visualization;
  • Platform and tools: Databricks, Github, AWS, Azure, Snowflake, redshift, Jira, Linux;

Timeline

Senior Data Scientist

IVADO Labs
05.2022 - Current

Course Mentor

McCombs School of Business, The University of Texas at Austin & Great Learning
06.2021 - Current

Senior Data Scientist

Canadian National Railway, CN
12.2020 - 05.2021

Data Scientist

Shutterstock
11.2019 - 12.2020

Data Scientist

Quanticmind Inc
11.2016 - 11.2019

Master of Science - Statistics

Queen's University
09.2013 - 05.2015

Risk Management Analyst

China Guangfa Bank
01.2009 - 11.2011

Master of Economics -

Sun Yat-sen University
09.2007 - 05.2009

Bachelor of Economics -

Tianjin University of Finance
09.2002 - 05.2006

AI Scientist III

IQVIA
6 2021 - 05.2022
Qing Liu