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XiaorongTianMMA/README.md

Hi there 👋

🧑‍💼Xiaorong Tian - Data Analytics💻

🔎 About Me

Hello! I'm Xiaorong, a passionate professional in data analytics, blending expertise in marketing and data science. I'm currently honing my skills and expanding my knowledge through a Master's in Management in Analytics at McGill University, with an anticipated graduation in December 2024.

🎓 Education

  • Master of Management in Analytics - McGill University
  • Bachelor of Science in Business and Marketing, Business Analytics Track - New York University Shanghai

💼 Professional Experience

  • Riverside Natural Foods Ltd.

    Supply Chain Analyst - Supply Chain Team

    • Integrated Tableau with SAP database to generate reports on distressed inventory, outlier SKUs, and daily operations, leading to improved sales forecasts, reduced waste, proactive adjustments in production and sales strategies, and enhanced operational efficiency.
  • Pratt & Whitney

    Data Intelligence Strategist, Academic Consultant

    • Utilized statistical analytics in Power BI, predictive modeling in Python, and automated maintenance recipes to optimize airplane maintenance processes, enabling clients to reduce operational costs, streamline inventory management, and enhance resource allocation.
  • Abercrombie & Fitch Co.

    Marketing Data Analyst - Consumer Relationship Management

    • Conducted data-driven projects including an overview of the Chinese E-commerce landscape, processing and assessing daily product and membership data, resulting in actionable insights for market share protection, online platform optimization, and enhanced customer engagement and retention.
  • Shanghai New Huangpu Industrial Group Co., Ltd.

    Intern - Post Investment Team

    • Reviewed financial statements, operating data, meeting resolutions, and strategy documents as part of corporate operations analysis; consolidated key data to facilitate the team’s ability to monitor and support target companies’ operations.

🛠️ Skills

  • Data Analytics, Marketing Strategy, Digital Marketing, etc.
  • Tools: Python, SQL, R, Power BI, Tableau, SAP ERP

📨 Let's Connect

If you're seeking a data analyst who combines technical acumen with a knack for uncovering the hidden stories in data, let's connect.

🤝 Feel free to reach out to me!

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  1. 24Seven-Expansion-Forecasting-Dashboard 24Seven-Expansion-Forecasting-Dashboard Public

    A Power BI dashboard project designed to support the strategic expansion and forecasting of the 24Seven brand. By integrating regional climate data, demographic insights, economic indicators, and t…

  2. IMDB-Score-Prediction IMDB-Score-Prediction Public

    This GitHub project by Obi-Win aims to predict IMDb ratings for twelve upcoming movies using a statistical model and a dataset of about 2000 IMDb-listed films. It focuses on identifying key variabl…

    R

  3. Luxury-Boutique-Layout-and-Discount-Design Luxury-Boutique-Layout-and-Discount-Design Public

    This is a comprehensive project featuring advanced analytics models for strategic product placement and pricing, including innovative discount strategies to enhance customer experience and maximize…

    Jupyter Notebook

  4. Predicting-YouTube-Channel-Popularity-and-Profitability Predicting-YouTube-Channel-Popularity-and-Profitability Public

    Focusing on predicting the popularity and profitability of YouTube channels, we aim to understand how factors like audience demographics, content quality, and ad placement impact digital ad efficie…

    Python

  5. McGill-MMA-EnterpriseAnalytics/Customer-Personality-Analysis-2.0 McGill-MMA-EnterpriseAnalytics/Customer-Personality-Analysis-2.0 Public

    Customer Personality Analysis 2.0 refines customer segmentation and marketing strategies using advanced clustering and causal inference models. This project enhances customer behavior analysis to d…

    HTML 1

  6. Automobile-Risk-Rating-Analysis Automobile-Risk-Rating-Analysis Public

    This GitHub repository focuses on predicting automobile risk ratings, aiming to understand the various factors affecting insurance risk ratings of vehicles. The project uses a detailed dataset with…

    R