"Your Python skills are quite good," Professor Xing praised.
As one of China's most authoritative economists, Professor Xing had attended economic seminars of every level. He had also been invited by companies to provide economic guidance. His academic research regularly brought him into contact with all kinds of data, including internal corporate reports that could not be made public.
But data analysis visualization reports as polished as Gu Chen's—comfortable to look at and clear at a glance—were rare not only among inexperienced undergraduates, but even among the dedicated data analysis departments of major corporations.
Not to mention that many of the views and arguments in Gu Chen's paper were genuinely forward-looking and feasible upon closer examination.
According to Gu Chen's summary report, regardless of a brand's industry, companies could first establish a comprehensive big data system, then use the feasibility of big data analysis to tailor data-driven operational strategies for each business's production processes, sales processes, and promotional processes. This seemed capable of becoming widespread rather than remaining an isolated case.
The terms internet and big data, already unbearably clichéd in later years, had been bluntly inserted into a paper from ten years earlier by Gu Chen, seemingly prompting Professor Xing to reflect deeply on a new round of corporate reform.
But that was no longer Gu Chen's concern. He cautiously studied Professor Xing's expression and asked, "Professor, did my paper pass?"
Professor Xing gave Gu Chen a long, deep look.
Out of appreciation for talent, when Professor Xing caught Gu Chen skipping classes in his major, he had specifically chosen writing a paper as punishment. He mainly wanted Gu Chen to understand that students should hold knowledge in awe and maintain a rigorous, serious attitude toward academic research. Only when a person possessed sufficiently rich knowledge could they have