2018/06/01 Event Record

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

Taiwanese Data Professionals (TDP) was honored to invite Annette Chiu and Paul Gassle to give talks about the integration between data and fashion and a useful python package, dateutil on June 1st.

Annette shared her experiences in using data for improving sales in the fashion industry. Her company was a fast-growing popular yoga clothing brand in the United Kingdom and the United States. As a marketing data analyst, her main job was to analyze the data and understand the market trend. Annette applied math algorithms to calculate the optimization of prices of their products. Competitors play an essential role in determining prices as well. Annette compared the price of similar products with their main competitors and set the retail price. Last but not least, Anette utilized the data about customer returns and analyzed the reason they returned the clothes, which encouraged the company to improve the design of their products. 

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.

2018/06/01 It’s About Time, Data People! !

This is our fourth monthly event hosted by Taiwanese Data Professionals. This month topic is about horror stories and comedies of working with time data and data professionals.

【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】

6:00 - 6:25 networking time
6:25 - 6:30 TDP Introduction
6:30 - 7:00 talk 1
7:00 - 7:10 Q&A 1
7:10 - 7:40 talk 2
7:40 - 7:50 Q&A 2
7:50 - 8:00 wrap up
After-hour @Rooftop Bars NYC (230 Fifth Ave, New York, NY 10001)

https://www.facebook.com/events/452933145160582/
https://www.eventbrite.com/e/its-about-time-data-people-tickets-45977098740

2018/04/27 Event Record

Taiwanese Data Professionals (TDP) at New York are honored to invite Yu-Han Chen and Tiezheng Li to speak about.....

2018/04/27 A Bite of NLP & beakerX on top of Jupyter

【Event】Taiwanese Data Professionals
【Topic】A Bite of NLP & beakerX on top of Jupyter
【Time】4/27 (Fri) 7:30 PM - 9:45 PM
【Location】Alchemical Theatre Laboratory (104 West 14th Street, New York, New York 10011)
【Speaker】
* Susan Sun | Freelance data scientist
* Luke Lin |  Data Scientist At NYC Data Science Academy

【Introduction】
Yu-Han is a passionate data scientist with a management science background. She is currently pursuing a Master’s degree in Management and Systems at New York University. At the same time, Yu-Han is also working as NLP data engineering intern at Itemize and a part-time data scientist at NYC Data Science Academy. Yu-Han will talk about the introduction of Natural Language Processing (NLP) and demonstrate how she utilizes Google Cloud Vision API, and machine learning in her job.

Tiezheng Li is interested in software architecture and full stack development, and currently focuses on developing BeakerX. Prior to joining Two Sigma he founded Supernova Studio where he created original role-playing games and board games. Tiezheng holds a B.S. in Computer Science and Technology from Tsinghua University, China (2015) and a M.S. in Computer Engineering from Columbia University (2016). Apart from work he enjoys soccer, video editing and competitive programming. He’s given talks at multiple Python community events and conferences.

【Coordinate】Kuang-Ting Chang, Robin Lee, Hsi-Ling Liao, Yu-Han Chen, Hsu Yi-hsuan

https://www.facebook.com/events/2012058839053678/

https://www.eventbrite.com/e/conversation-with-yu-han-chen-and-tiezheng-li-tickets-45159531374

2018/03/30 Event Record

Taiwanese Data Professionals (TDP) and Cafe Philo at New York are honored to invite Luke Lin and Susun Sun to speak about their experiences in building a Flask app and working as a data scientist freelancer.

Luke started his talk by sharing Brian Chesky’s quote. “All these really good ideas or big ideas often sound like stupid ideas... A lot of these ideas are you solving your own problem”. More than often, people just intimidated by the name of new things, Luke wants to share that “Big Data”, “Data Science”, and “Machine Learning” is actually not that hard, and we should not afraid of get engage. Then, he demonstrated a Flask app solving his own problem -- ranking restaurants in his to-go list. The Flask app is combined with Google Map API, and MongoDB which allows users to visualize the exact location of a restaurant and manage a database. Luke further explain how he implementing these techniques in his work. For instance, he also build a time management for scheduling his daily tasks and meetings. In the end, Luke ended up sharing his viewpoints on Artificial Intelligence (AI).

The second talk led by Susan Sun was mainly about why, what, how, and where to start and work as a data scientist freelancer. She shared her experience being a student in a boot camp and a lecturer at General Assembly. There are couple of reasons why Susan would love to work as a freelancer. Firstly, she is able to acquire different skill sets across various industries and those ideas carried from companies to companies are highly valued. Secondly, being a freelancer, she has more flexibility especially with respect to time management. Another great pulling force is that there are less tedious and lengthy meetings for freelancers to deal with. On top of discussing her motivations of being a freelancer, she also talk a little bit about her pricing strategy.

2018/03/30 Conversation with Susan Sun and Luke Lin

【Event】Café Philo ＠ NY // Taiwanese Data Professionals
【Topic】Conversation with Susan Sun and Luke Lin
【Time】3/30 (Fri) 7:30 PM
【Location】WeWork Times Square
【Speaker】
* Susan Sun | Freelance data scientist
* Luke Lin |  Data Scientist At NYC Data Science Academy

【Introduction】
Susan works in a variety of fields, from academia to industry, corporate to nonprofit, including notable data leaders like New York Times, Google, CUNY, and DataKind. Susan holds a Masters in Statistics at Columbia University and a Bachelors in Economics at the University of Pennsylvania ,Wharton Business School. She will share her insights and experiences on freelancing as a data scientist.

Luke received his PhD degree in Math from The State University of New York at Stony Brook SUNY, Luke’s research activities concern mathematical analysis and partial differential equation. Currently, Luke is a Data Scientist At NYC Data Science Academy, focusing on R, Python and Machine Learning. He will be talking about Flask, Google API,  and his Imaginary Post Big Data Era.

【Host】Hsu Yi-hsuan
【Venue】Hsin Hsiao｜Software Engineer，Founder of Startup in NY
【Coordinate】Kuang-Ting Chang, Robin Lee, Hsi-Ling Liao, Yu-Han Chen

https://www.eventbrite.com/e/conversation-with-susan-sun-and-luke-lin-tickets-44519656491

https://www.facebook.com/events/152176568942820/

Code of Conduct

Organizers will enforce this code throughout the event.

TDP is dedicated to providing a harassment-free experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of event participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any event venue, including talks.
Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for TDP.
Attendees violating these rules may be asked to leave the event.

Thank you for helping make this a welcoming, friendly event for all.

2018/2/23 Event Record

Event: https://twdatany.blogspot.com/2018/02/223-kickoff-event.html

Taiwanese Data Professionals (TDP) and Cafe Philo at New York are honored to invite James Powell and Robin Lee to speak about their experiences in organizing data community and working on reproducible data workflow.



James kicked off the evening by sharing his thoughts on the importance of building a community. He has been a rock star in organizing conferences and meetup groups related to Python and data science. So why building a community? Why bother volunteer? According to James, building community is about collective action -- doing something greater than what you can do with your own resources. While helping good people succeed, you are motivating them to do the same thing for others in the future. And in the long term, you are helping the community succeed. For James, building a community is truly about optimism about the society: Through collective action, we are creating the world that we envision to live in.



Robin’s talk, on the other hand, focused on reproducible, auditable, accurate, and collaborative SQL workflow. As analysts or data scientists working with data every day, a lot of us made mistakes when processing data. However, instead of blaming individuals on their personal failures, it is more important to change that mindset and examine the system to see how the system has failed. It is only through learning from mistakes and establishing a reliable, reproducible workflow that we become a better data scientist/analyst day by day. It is important to have this mindset and understand concepts such as modular code, dependency management, and executable analysis script for our everyday work. He then shared an SQL workflow example by using data for Hacker News.

2018/02/23 Kickoff Event

Monthly Event

Two speakers and joined QA section!

【Event】Café Philo ＠ NY // Taiwanese Data Professionals
【Topic】Conversation with James Powell and Robin Lee
【Time】2/23(Fri) 7:30 PM
【Location】WeWork Times Square
【Speaker】

• James Powell | Managing Partner at The Python Quants | VP of Programming at NumFOCUS
• Robin Lee | Senior Analyst At New York Times

【Introduction】
Taiwanese Data Professionals is a group that open to all Taiwanese who is based in Greater New York Area interested in Data Science. The focus of this Meetup group to present informative lectures, workshops and networking events to build Taiwanese Data Scientist/Engineer community and help the group to interact with main stream data science community in New York. We are here to enable everyone who comes to find role model and be encouraged to share their ideas with one another. 

James Powell works with open source data science tools, with a focus on technologies written in Python and applications of these technologies to problems in quantitative finance. He is going to talk about the overview of the tools/projects in NumFOCUS, and what other data science resources are available in NYC.

Robin Lee work at New York Times as a senior Analyst. He is going to talk about “Attempts of reproducible data analysis in SQL”, many of data analyst/scientist regularly run similar analysis on a different time frame or choice of parameters. Having a workflow that generates consistent logic would allow analysts to focus on discovering and validating the more creative insights.  He’ll share how he clean up SQL queries so that it’s easier to maintain by using CTEs and views as well as reducing hard coded logic.
【Host】Kuang-Ting Chang
【Venue】Hsin Hsiao｜Software Engineer，Founder of Startup in NY
【Coordinate】Hsu Yi-hsuan

https://www.eventbrite.com/e/conversation-with-james-powell-and-robin-lee-tickets-43268145187