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Xinran Q.XQ

Xinran Q.

Data Automation & Reporting | Excel Python

€125/day
Dijon, FR
3-7 years
Python
VBA
Data Analysis
Machine Learning
Fintech

Average response time: 1 hour

Freelancer profile translated to English.
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About Xinran

I help companies and individuals automate their data processing tasks and office processes to save time and reduce repetitive tasks. I use Python, Excel, and VBA for data cleaning, process automation, and creating simple reports. I can also perform data extraction (web scraping) and transform raw data into actionable insights and clear reports.
Banking and Financial Services

  • French

    Fluent

  • English

    Fluent

  • Chinese

    Native or bilingual

Can work on-site
Dijon (up to 50km)

Experience

  • Secteur Bancaire (Siège Social)
    Product Manager Data & Systems
    BANKING AND INSURANCE
    July 2020 - July 2022 (2 years)
    Shenzhen, China
    Technical Specifications: Translating business needs into functional specifications (PRD) for the redesign of a heavy financial data management system.

    Tech Project Management: Direct interface with the development team: sprint tracking (Agile), backlog management, and testing to ensure delivery.

    Data & Reporting: Analysis of system usage data and writing performance reports (KPIs) to guide iterations.
    SQL Data Analysis Python
  • Faculté de Finance et Management
    Data Science & Finance Instructor
    EDUCATION AND E-LEARNING
    August 2022 - May 2025 (2 years and 9 months)
    Mianyang, China
    Technical Expertise: Designing and delivering Bachelor's level courses: Statistics, Financial Big Data, Data Analysis, AI Principles.

    Projects & Mentorship: Supervising students in data competitions and overseeing final theses focused on modeling.
    Machine Learning Python Statistics Fintech Web Scraping
  • Équipe Algorithme, Secteur Fintech
    Data Analyst (Internship)
    TECH
    July 2019 - October 2019 (3 months)
    Shanghai, China
    Anomaly Detection: Analyzing massive datasets to identify and label suspicious users and fraud networks (Anomaly / Fraud Detection).

    Data Pipeline Maintenance: Daily management, cleaning, and structuring of the algorithm team's databases.
    Machine Learning CQL Probabilistic Graphical Models an Data Analysis

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