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#WiDS2019
Opening Remarks
How I started Women in Tech x Data Science
Searching for Inspirations...
Nonlinear Career Trajectory
Working with Amazing Female Bosses
Silja Kim
Associate at &Beyond VC
New York, 2015
Laurie Heller
Global Program Director at IBM
New York, 2016
Jen Midori
Director of Engineering at Kiva
San Francisco, 2018
Why I started Women in Tech x Data Science
Importance of Mentorship
Without mentorship, it will take way longer for you to get
where you want to be on your own.
Common misconceptions & caveats:
1. You dont need permission to have someone as a mentor.
2. Your peer can also be your mentor if you can learn from
her/him.
3. Mentorship requires a great amount of investment, so be
respectful of your mentors time and energy.
4. To foster mentorship, remember It takes two to tango.
What is Mentorship? Mentorship is a relationship in which a more experienced or more knowledgeable
person helps to guide a less experienced or less knowledgeable person.
What are you most excited for at the upcoming event?
Our Organizations Vision & Mission
Hands-on Activities for Recruiting & Networking
Find your own strengths & leverage them for storytelling!
Where do you see WiTxDS moving in the future?
Our efforts to increase womens presence in leadership
Problems: glass ceiling, wage gap, lack of support network
Suggested solutions:
 Speak up! Your voice matters. Express your opinion clearly & make
your argument compelling by using data.
 Engagement: find a community that you feel belonged to and build up
your professional network with other women in the field.
 Ask for what you deserve: Recognize what is wrong at work and fight
for the cause you believe in.
Resources:
 Harvard Business Review: Guideline for Winning Negotiations
 Management Consulting Case Studies
 Local female empowerment organizations: e.g., Women in Tech x
Data Science
 Speed Networking Practice in April
 Negotiation Strategy Workshop in May
Thank you!
Email me at glee2429@gmail.com if you have any questions.
Work at the intersection
Eunjoo Jeon
Senior Healthcare Data Scientist, Samsung SDS
Career Progress
09 1
1
12 13 18 19
RN
*RN: Registered Nurse, CRC: Clinical Research Coordinator
CRC Master Coordinator PhD Data Scientist
Nursing Informatics
Being good at both
Work in Academia
1. Set your interest
2. Get the latest trends
3. Read the related papers over and over
4. Define the problem and solution
4. Design the experiment
5. Conduct experiment and evaluation
6. Write a article
Work in Academia
Work in Academia
Work in Academia
Work in Industry
1. Set up a business model
2. Find the pain point of customer
3. Define the analysis task
4. Check available data and resources
5. Conduct Analysis (model selection, learning, evaluation)
6. Provide a service based on analysis results
7. Maintain the service
Brightics AI
Brightics AI
Thank you

More Related Content

Opening Remarks for WiDS Seoul in March 2019

  • 3. How I started Women in Tech x Data Science
  • 6. Working with Amazing Female Bosses Silja Kim Associate at &Beyond VC New York, 2015 Laurie Heller Global Program Director at IBM New York, 2016 Jen Midori Director of Engineering at Kiva San Francisco, 2018
  • 7. Why I started Women in Tech x Data Science
  • 8. Importance of Mentorship Without mentorship, it will take way longer for you to get where you want to be on your own. Common misconceptions & caveats: 1. You dont need permission to have someone as a mentor. 2. Your peer can also be your mentor if you can learn from her/him. 3. Mentorship requires a great amount of investment, so be respectful of your mentors time and energy. 4. To foster mentorship, remember It takes two to tango. What is Mentorship? Mentorship is a relationship in which a more experienced or more knowledgeable person helps to guide a less experienced or less knowledgeable person.
  • 9. What are you most excited for at the upcoming event?
  • 11. Hands-on Activities for Recruiting & Networking Find your own strengths & leverage them for storytelling!
  • 12. Where do you see WiTxDS moving in the future?
  • 13. Our efforts to increase womens presence in leadership Problems: glass ceiling, wage gap, lack of support network Suggested solutions: Speak up! Your voice matters. Express your opinion clearly & make your argument compelling by using data. Engagement: find a community that you feel belonged to and build up your professional network with other women in the field. Ask for what you deserve: Recognize what is wrong at work and fight for the cause you believe in. Resources: Harvard Business Review: Guideline for Winning Negotiations Management Consulting Case Studies Local female empowerment organizations: e.g., Women in Tech x Data Science Speed Networking Practice in April Negotiation Strategy Workshop in May
  • 14. Thank you! Email me at glee2429@gmail.com if you have any questions.
  • 15. Work at the intersection Eunjoo Jeon Senior Healthcare Data Scientist, Samsung SDS
  • 16. Career Progress 09 1 1 12 13 18 19 RN *RN: Registered Nurse, CRC: Clinical Research Coordinator CRC Master Coordinator PhD Data Scientist
  • 19. Work in Academia 1. Set your interest 2. Get the latest trends 3. Read the related papers over and over 4. Define the problem and solution 4. Design the experiment 5. Conduct experiment and evaluation 6. Write a article
  • 23. Work in Industry 1. Set up a business model 2. Find the pain point of customer 3. Define the analysis task 4. Check available data and resources 5. Conduct Analysis (model selection, learning, evaluation) 6. Provide a service based on analysis results 7. Maintain the service