Summary
Overview
Work History
Education
Skills
Soft Skills
Certification
Languages
Hobbies and Interests
Timeline
Generic

Nina TUO

Toronto,ON

Summary

Detailed-oriented Data Scientist with 8 years of experience in Data Processing and Data Analyzing (mainly Banking and Insurance sector). Developed innovative models to solve complex business problems and drive strategic decisions for big companies such as Credit Agricole, AXA, Allianz and HSBC. Passionate about leveraging data for business, statistical modeling and Data visualization, I’m pursuing new Data Analyst/Data Scientist opportunities.

Overview

8
8
years of professional experience
1
1
Certification

Work History

Senior Data Scientist & Data Protection Officer

Crédit Agricole CIB
08.2022 - 07.2024
  • Developed interactive and insightful dashboards within Power BI, highlighting key trends, patterns, anomalies, presenting findings to senior management and telling compelling stories;
  • Collaborated with business lines to identify new use cases and opportunities to drive business by leveraging Artificial Intelligence (AI) and Machine Learning (ML);
  • Partnered with IT teams to ensure seamless integration between databases and analytical tools, maximizing system efficiency across departments.
  • Served as a subject matter expert on various projects (Group AI Design Authority, Workflow evolutions, creation of new Dashboards etc.) sharing valuable insights derived from extensive experience as a Senior Data Analyst.
  • Advised the Group on Data privacy issues in Europe and North America (Privacy Impact Assessment, record of processing activities, right of access, etc.).

Senior Data Inspector

Crédit Agricole SA
04.2019 - 08.2022
  • Developed a machine learning model, using Python, that automatically detects fraudulent IDs upon entry (accuracy> 93%);
  • Implemented a real-time fraud detection system to challenge and improve the Group fraud process to 89% during OFAC assignments;
  • Presented complex findings to non-technical senior managers and executives through clear visualizations and concise reports;
  • Built a Robotic Process Automation (RPA) to download and classify audit files for the investigation team and reduced time spent on manual tasks;
  • Developed an NLP model with Python to transform scan documents (images) into text before identifying a specific document by keywords (7 seconds per page);
  • Investigated discrepancies discovered during auditing process and elaborated audit detailed report for presentation to the top management;
  • Ensured compliance with industry regulations through meticulous attention to detail during inspections.

Marketing Data Analyst

AXA
11.2017 - 04.2019
  • Analyzed costumers behavior in multiple agencies and provided insightful analytics information for better costumer services and targeted marketing strategies;
  • Informed content strategy by evaluating the success of past campaigns and identifying areas for improvement which helped increase profits by 22% on average;
  • Monitored the department data quality and developed scores for every new marketing campaigns, using clustering methods and data modeling;
  • Developed Data Visualization dashboards to monitor Key Performance Indicators (KPIs) and drive data-informed decision making;
  • Enhanced marketing campaign performance by analyzing and interpreting data from various sources (agencies, website, databases, social media, etc.);
  • Reported performance and ROI of marketing campaigns.

Data Analyst

Allianz
09.2016 - 09.2017
  • Built an automatic commission calculator for brokers that identifies unusual commission variations to prevent and detect fraud with 78% accuracy;
  • Developed a predictive model to explain the early redemption of life insurance contracts and prevent 58% losses;
  • Produced multiple solutions to automate 82% of manual activity's reports and data processing with SAS Macro, R and SQL;
  • Collaborated with cross-functional teams (Marketing, IT, Accounting) to ensure data integrity and accuracy, resulting in better-informed decisions;
  • Used statistical methods to analyze data and generate useful business dashboards with Power BI and R-Shiny;
  • Produced weekly and monthly reports using SAS Guide and advanced Excel spreadsheet functions for activities' steering.

Education

Master of Science - Applied Statistics

Paris-East Créteil University
Paris, France
09.2017

Skills

  • SAS base and Macro
  • SQL (Oracle, SQL Server, MySQL)
  • Python
  • R
  • Power BI
  • Spot fire
  • SPSS
  • Microsoft Pack Office (Access, Excel, PowerPoint, Word, Outlook)

Soft Skills


  • Adaptability
  • Communication
  • Innovation
  • Creativity
  • Analytical thinking
  • Curiosity
  • Detailed-oriented
  • Problem-solving

Certification

  • English as Second Language (Rice University - level 6), 10/2023
  • Data Scientist, 11/2021 (Python for Data Science, Machine learning, Deep learning, Data visualization, Pyspark)
  • SAS base programming, 09/2017

Languages

French
Native or Bilingual
English
Native or Bilingual

Hobbies and Interests

  • Travel
  • Sport (Swimming, Scuba diving, Soccer...)
  • Artificial Intelligence
  • Cooking
  • Photography

Timeline

Senior Data Scientist & Data Protection Officer

Crédit Agricole CIB
08.2022 - 07.2024

Senior Data Inspector

Crédit Agricole SA
04.2019 - 08.2022

Marketing Data Analyst

AXA
11.2017 - 04.2019

Data Analyst

Allianz
09.2016 - 09.2017

Master of Science - Applied Statistics

Paris-East Créteil University
Nina TUO