Cinny Lin's CV

Documentation of all my professional experiences.

Data Science

Python95%
R90%
SQL90%
MATLAB85%

Data Science Experiences

Le Wagon


Data Science Bootcamp Teaching Assistant

July 2021 - Present
Remote / Shanghai, China / Berlin, Germany
  • Taught 16 industry professionals how to train machine learning models at scale using Google Cloud Platform (GCP) and deploy projects using Docker containers
  • Solved 15% more tickets a day than average peers

German Federal Ministry of Economic Affaris


Data Scientist / Product Owner

June 2021 - Aug 2021
Remote / Berlin, Germany
  • Built a web app for regional level unemployment rate forecasting using Scrum, with 4% higher accuracy than benchmark
  • Provided policymakers regional insights on allocating €3B Covid funding to 401 counties

On Century Avenue


Chief Editor

Sep 2020 - Dec 2020
  • Oversaw a team of 7 in the editorial committee and published around 10-15 articles, ranging from news, opinion, and multilingual sections

News Writer

July 2020 - Sep 2020

Econ Analyst

July 2020 - Sep 2020
  • Co-wrote an analysis regarding the impact of COVID-19 on low-income communities, detailing how the pandemic affected education, informal economies, and supply chains, with world map showing levels of school closures, percentage of informal economies, changes in unemployment rates, remittance, and consumer prices

@coronavirus_country Initiator

March 2020 - Sep 2020

Wave Learning Festival


Data Team Lead

Aug 2020 - Dec 2020
  • Worked with regional outreach leads to create data visualizations for different areas that inform marketing decisions into more under-privileged areas by web scraping public data and automating emailing to increase mass marketing efficiency
  • Delegated tasks to the 9 members of the data team and provide counsel and technical support on individual projects
  • Oversaw the assessment of all data requests in order to ensure quality and accuracy of the statistics and visaulizations
  • Featured on WaveLF's blog to explain the responsibilities and achivements of the data team.

Instructor of "Time is Money" course

July 2020 - Aug 2020
  • Taught 150+ students time management by connecting important concepts from personal finance, psychology, and data science
  • Received a 4.4/5 overall course rating, with 5/5 rating that they learned something from the course and 4.8/5 that the teacher is knowledgeable of the course subject

Data Volunteer for Automating Logistics

June 2020 - Aug 2020
  • Created algorithms to automate internal processes such as determining acceptances and waitlists, and refined the course enrollment system by adding an age restriction filter to separate elementary schoolers from college students, using MATLAB
  • Performed data analysis on registrations enrollments to create summaries on how many students got in how many of their desired courses, using Python
  • Automated the process of visualizing age distribution in each class for teachers to better understand their students, using Python
  • Optimized courses scheduling to find the best time slot for 100+ courses based on teachers' availability and least conflicts and automatically adding the optimized results to Google Calendar, using Python mlrose and GoogleAPI

Data Volunteer for Marketing & Expansion

June 2020 - Aug 2020
  • Performed data analysis on past registrations to create summaries on retention between sessions, using Python
  • Visualized geographic representation of students registrations in the U.S. and in the world, using Python bokeh and R shiny

PM

My journey from being a Project Manager in consulting groups to a Product Manager at a unicorn tech startup.

Product Manager

Product Manager at Grace Accelerator

Grace Accelerator is an initiative in Berlin, Germany that promotes female entrepreneurship.


I am currently a Product Manager at Grace, leading the product development of the MasterMind program on Grace Digital from conception to launch.

Product Management Intern at OrCam Technologies

OrCam Technologies is a unicorn startup based in Jerusalem, Israel that empowers the lives of visually impaired people with cutting-edge artificial vision technology.

2

Products

7

Teams

233

Media Clippings

6712

Views of Live Broadcast

222420

Views of Video Campaign

OrCam MyEye 2.0

Launched on July 24, 2019, at the Assistive Technology Expo Taipei.

  • 2 Products: OrCam MyEye & OrCam MyReader.
  • 7 Teams: R&D, QA, Web Dev, SEO Ad, PR, Media, Design.
  • 233 Media Clippings: including 7 TV broadcasts, 7 Radio, 4 print newspapers, and 205 online appearances.
  • 6.7k Live Views: Senator Prof. Chen from Taiwanese Congress broadcasted live on Facebook advocating for government funding for OrCam, which received 6.7k+ views and hundreds of reactions.
  • 222K+ Campaign Views: the campaign video I starred in and co-directed gained over 222K views and hundreds of shares on YouTube.

Product Managing Experience

Below details my experience working with Business Development director as well as different teams before the product launch.


Product Management Intern

June 2019 - Aug 2019

#R&D

Research & Development team
  • Brainstormed with R&D team on improving Chinese OCR (Optical Character Recognition) in both traditional (used in Taiwan and Hong Kong) and simplified characters (used in Mainland China)
  • Discussed with R&D team on alternative ways of Chinese TTS (Text-to-Speech) conversions

#QA

Quality Assurance team
  • Created detailed test cases for TTS and reviewed technical design specifications
  • Identified and documented bugs while testing TTS for children's book and reported back to QA team

#Web Dev

Web Development team
  • Translated all texts on the official website into traditional and simplified Chinese
  • Researched in methods for smoother conversion between traditional and simplified characters on the Chinese website

#SEO Ad

SEO Advertising
  • Compiled a thorough list of possible keywords with SEO team
  • Discussed ways of tracking cookies to target advertising across social media platforms

#Biz

Asia Director of Business Development
  • Collated a comprehensive Taiwanese distributors lists, including such as but not limited to retail stores, insurance companies, and senior cares
  • Wrote a detailed report on tetsing a similar product designed by an industry competitor

#PR

Public Relations
  • Pitched to Peking University MBA Executives delegation with Director of PR
  • Represented at the business meeting with Parliament Members of Taiwanese Legislative Yuan
  • Discussed possibilities of celebrity endoresements and joined meeting calls with Taiwanes PR team
  • Wrote multiple press releases in both English and Chinese for the Taiwanese newspaper and social media platforms

#Media

Creative Digital Media
  • Modelled for Taiwanese advertisements, including voiceovers, photoshoots and video campaigns
  • Wrote the script and cut the whole video campaign with Creative Marketing Director

#Design

Graphic Design
  • Co-designed brochures, presentations, and exhibition booth with Graphic Design team
  • Translated brochures and presentations from English to Chinese simplified and traditional characters

Project Manager

Consulting Experiences

TAMID Group

Vice-President and Director of Education

May 2019 - May 2020
  • Oversaw weekly sessions on teaching members about investing, consulting, entrepreneurship, and networking
  • Discussed with student leaders from universities across the U.S, Canada, and Israel at TAMIDcon '19 "Leading with Excellence" conference on ways to create engaging educational materials for students and to work on hands-on projects while learning
  • Secured 7 fully-funded summer fellowship opportunities for students to intern at Israeli companies and expand their knowledge on Israeli startup ecosystem

Project Manager

Jan 2019 - May 2019
  • Represented to compete with 50+ U.S. colleges for a consulting project on how Golan Heights Winery can effectively enter the Chinese market

Business Consultant

Sep 2018 - Dec 2018
  • Consulted for GDPR Edge (now Truyo) to understand how Chinese eCommerce companies can comply with the GDPR law

Le Wagon & 31 Ten

Business Consultant

Oct 2018 - May 2019
  • Gathered data to evaluate the market potential of Chinese mobile game markets
  • Co-wrote a whitepaper detailing the business and technical building of Chinese mobile games markets and its application in WeChat mini-programs
Impact Consulting Group

Project Manager

Sep 2018 - May 2019
  • Consulted for Buy42 to provide research guidelines and expand their online market to Chinese local universities
  • Collaborated with upperclassmen and alumni to hold seminar sessions and act as mentors in guiding students to work on consulting projects

Sirikos Advisory

Business Consultant

Jan 2019 - March 2019
  • Consulted for projects across industries including energy, real estate, M&A in countries such as but not limited to China, U.A.E., and the U.S.
  • Helped plan and design pitching processes and slide decks, and made professional recommendations for business improvements
  • Performed research and analysis in support of business operations and assisted estimate costs and benefits of multiple actions

Block Aero

Product and Business Development Intern

Oct 2018 - Dec 2018
  • Trained datasets with neural networks to digitize aircraft records and reported tasks to Chief Technical Officer
  • Planned projects and built a library of content for marketing campaigns and competitors research for VP Strategy

Research

From supporting professor's ongoing research papers and publications,
to working with interdisplenary teams and undertaking independent research.

Research Experiences

NYU Vertically Integrated Projects:
Digital Humanities Lab - History Beyond
led by Professor Heather Ruth Lee

Fall Research Assistant

Sep 2020 - Dec 2020
  • Built a name-nationality classification model that improved prediction accuracy by 30%
  • Geocoded 1,034,722 restaurants records between 1870 and 1933 with 90% accuracy using a self-built model
  • Visualized restaurants with ethnic clusters to understand immigrant stories
  • More of the project can be found in this collaborative paper

Summer Research Assistant

in Data Augmentation & Animation Group

June 2020 - Aug 2020
  • Performed data cleaning for business directories in Manhattan during early 1800s to early 1900s using gender and nationality API and cross-checked with datasets scraped from IPUMS USA and Ancestry.com, using Python
  • Mapped restaurant data of 9 ethnic groups (Chinese, French, German, Irish, Italian, Jewish, Polish, Russian, Spanish) in three time periods (1898 ,1913, 2020) using Python and compared racial distribution patterns of New York using R tidycensus
  • Featured on the school's gazette to discuss my contribution to the project
Biases and Fairness in Online Interactions led by Professor Bruno Abrahao

Research Assistant

Dec 2020 - Present
  • Applying evolutionary game theory on social networks where there are imbalances in mutual ratings driven by social demographics
  • Using imperfect heirarchical multi-level modeling to reduce the interdependence between rating interactions

Irrational Artificial Intelligence led by Professor Grace Haaf

Research Assistant

Sep 2020 - Present
  • Using regression models to find unusual behavior patterns in poker bots decisions to infer irrationality in artificially intelligent agent

International Society of Transport Aircraft Trading (ISTAT) led by Professor David Yu

Research Assistant

Dec 2018 - Jan 2019
  • Researched for global and regional leasing and securitization in aircraft markets
  • Contributed to editorial discussions on aircraft leasing financial modelling educational presentations for college masters program

Personal Projects

Professor Network Graph

Visualized CS professors in the global NYU network and created individual profiles based on their number of publications, citations, and diversity of coauthorship

Book Recommender System

Tested the role of reading tags and book covers in book recommender system using TF-iDF and CNN machine learning models and improved prediction by 92%

Predicting Beijing House Price

Predicted the house price in Beijing with regression models

Recommendations

Good things people have said about me.