紐約生活紀錄與學習筆記@chiujujulian_an

Fashion trend forecasting enables you to future-proof your product with actionable guidance through the fashion industry’s transformational shifts, from sustainability targets and changing consumer lifestyles to digital design. Fashion experts collate and contextualise research, data and design influences from across the globe. From scientific innovation and social media to catwalks and e-commerce, our extensive research streams are validated with a combination of data sources to bring you strategic forecasts fundamental to planning and designing future collections.
面對不穩定性，通過定價策略跟市場制價通路策略，有望緩解目前的成本壓力, 行業有理由保持樂觀，因為老花系列跟不對稱年輕花案對比產生，對市場來說是轉機，新的一年消費者有望看到更多的價格上漲。
破碎化的未來2024年，全球前景可能還不穩定，由於新的金融市場，地緣政治和其他挑戰研究影響消費者信心，美國歐洲和中國的時尚市場面臨不同的阻力，要求供應商 品牌跟零售商加強應急計劃等措施。隨著2023年極端災害的事件影響，時尚產業價值鏈變得十分脆弱。在這總背景下，時尚行業極端需要提升供應鏈的彈性，並助力減碳排對應日後的重建。

@chiujujulian_an Taiwanese Data Professionals (TDP) was honored to invite Annette Chiu and Paul Gassle to give talks about the integration between data and fashion and Paul introduced a useful python package, dateutil, for wrangling data in data and times. Why chose dateutil? There are many different time zones and different transition of Daylight Saving Time around the world. These problems were difficult to observe and solve. Paul provided an interesting case in China. China Standard Time is 8 hours ahead of Coordinated Universal Time (UTC+8). However, the time zone in Urumqi is UTC+6. There were two time zones in China, which was confusing for some data scientists. Other problems of time zone, such as parsing, recurrences, and calendar offsets arose due to the complexity of date and time. Paul worked on dateutil to solve these problems and provided a better package for data scientists.

【Speaker】

Annette Chiu | Marketing Data Analyst @ ChangeFashion

Paul Ganssle | Software Engineer @ Bloomberg

【Introduction】

Annette Chiu is a data analyst and project manager at ChangeFashion Inc, a startup in Manhattan, where she is responsible for digital marketing analysis, sales reporting, sales forecasting, and executing pricing strategies. She has an undergraduate degree in Industrial Engineering and Engineering Management from National Tsing Hua University. She will share her experiences of transitioning into data science and analytics.

Paul Ganssle is a software developer at Bloomberg and contributor to various open source projects. Among other projects, he maintains of python-dateutil. He’s given engaging talks at Python community events. He will talk about the utilities that the dateutil project provides for working with datetimes, including recurrence rules, datetime parsing and time zone support.

【Notes】

The WeWork entrance is 27 E 28th Street between Park South and Madison Ave
The nearest subway stop is at 28th Street on the 6 Line and the RW Line on 28th Street and Broadway.
Our event begins at 6pm .
【Schedule】

After-hour @Rooftop Bars NYC (230 Fifth Ave, New York, NY 10001)

https://www.eventbrite.com/e/its-about-time-data-people-tickets-45977098740

People exchange items in their communities more than ever now. For better or worse, the internet has hyperconnected us. Boundaries between online and offline life are dwindling in many respects. One of the benefits of this is the ability to buy and sell used goods from local strangers.This upcoming year I will discuss how he approached the problem and go through the steps he followed to create and build an application, a highly predictive model for predicting load defaults using Lending Club data, from data exploration to feature selection to portfolio optimization.This presentation provides a glimpse of the level of practical knowledge, technical expertise, and presentation skills that our students acquire and sharpen throughout their time at the boot camp. Join us online and get a sense of what it’s like to learn data science and build your career with smart thought.Good day everyone, I’m a business analyst who believes that product management is an investment in my entrepreneurial pursuit. I am a PM who recently left my home country Taipei to New York, with aspirations to build my career overseas. During my 6+ years of professional experience and 2.5 years as a full stack engineer before transitioning to full-time Product Management, I’ve navigated diverse industries, from small-scale startups to multinational corporations. I’m keen to connect, exchange ideas and grow together with everyone here. Cheers!