Montreal, Quebec, Canada
I enjoy deep thinking and meditation and have a great passion for computer science, data science and financial engineering. I hope to combine philosophical reasoning to explore the social and commercial values of data science and artificial intelligence, actively innovate, and dare to challenge difficult problems. Dedicated to applying knowledge in different fields to daily life and business scenarios. Willing to continuously learn and research cutting-edge artificial intelligence technologies, while actively exploring potentially transformative discoveries at the boundaries of disciplines.
• Engineered and optimized large-scale data processing pipelines using Python and Scala within Hadoop and Apache Spark frameworks to handle datasets exceeding 10 terabytes. • Assisted in refining real-time data ingestion algorithms, contributing to a reduction in data latency by 2 hours, thereby enhancing the responsiveness and efficiency of city infrastructure management. • Analyzed data related to cultural artifacts and creative industries, leveraging SQL and NoSQL databases to identify trends in heritage conservation and consumer engagement, informing innovative preservation strategies. • Collaborated with cross-functional teams, presenting data-driven insights that directly influenced key project decisions and successful deployments.
• Analyzed production data, including machine cycle times, tool wear, and maintenance schedules, to identify bottlenecks and improve operational efficiency in the precision machinery workflow. • Processed and analyzed over 5,000 data entries related to machine usage and production output using Python and SQL, providing insights that directly informed production planning and efficiency improvement strategies. • Compiled a 30-page report based on 10,000+ data points, which directly supported decision-making on optimizing equipment performance and reducing downtime in the manufacturing process.
• Learning knowledge related to market analysis, product development and corporate strategic layout. Then complete designated product planning tasks every week and submit a learning report at the end. • Analyzing the Chinese B&B market and write reports, help develop marketing strategies and writing marketing tweets. Rated as an outstanding graduate.
• Analyze the market and through new media such as Xiaohongshu and WeChat to help company publicity and marketing. • Published marketing tweets with over 10000 views.