ELEVATING WOMEN IN DATA

THURSDAY, SEPT 9 @ 12:00 PM – 3:30 PM EDT

Register

DATA SCIENCE SALON ELEVATE IS A UNIQUE FEMALE FOCUSED VIRTUAL CONFERENCE WHICH BRINGS TOGETHER SPECIALISTS TO EDUCATE EACH OTHER, ILLUMINATE BEST PRACTICES AND INNOVATE NEW SOLUTIONS. LEARN AS OTHER FEMALE THOUGHT LEADERS SHARE THEIR WISDOM AND EXPERIENCE IN THEIR CHOSEN FIELD.

Past Speakers

Amy Gershkoff Bolles

Amy Gershkoff Bolles

Chief Data Officer at Bitly

Anupama Joshi

Anupama Joshi

Dir. AI, Personalization, Computer Vision & MLaaS at Target

Rhonda Textor

Rhonda Textor

Head of Data Science at True Fit

Sivan Aldor-Noiman

Sivan Aldor-Noiman

Head of Data Science & Data Engineering at Wellio

Anjali Samani

Anjali Samani

Director, Data Science at Salesforce

Nancy Ceseña

Nancy Ceseña

Data Scientist at Great Place to Work US

Noemi Derzsy

Noemi Derzsy

Senior Inventive Scientist at AT&T Labs

Rochelle March

Rochelle March

Data Science Manager at S&P Global

Gabriela de Queiroz

Gabriela de Queiroz

Sr. Machine Learning Manager at IBM

Nandika Donthi

Nandika Donthi

Data Engineer - Active Learning at Wellio

Dhivya Rajprasad

Dhivya Rajprasad

Lead Data Scientist at Levi Strauss & Co.

Kay Sin

Kay Sin

Technical Program Manager at LinkedIn

sample of topics covered:

Machine learning best practices
Data strategy and governance
Data ethics and bias
Recommendation engines
Designing ML pipelines efficiently
Career paths
Hiring and Recruitment
Seeking mentorship with purpose
The importance of female-first spaces
Navigating male-dominated teams
Overcoming imposter syndrome
Data science teams: managing, building, collaboration
Integrating open source tools into your workflows
Data and AI for emerging platforms
Data governance

Register

DSS Elevate is a non-profit event. Your ticket covers our production fees so we can continue to elevate women and other underrepresented groups.

For any queries regarding Registration or Tickets, please contact us via info@formulated.by 

About DSSe

DSSe is an initiative to elevate and connect the voices of women in data science and encourage companies to set a better habit to generally consider women for data-intense roles.

DSSe is important because the field of Data Science is still young — for it to fulfill its true potential, we need voices that reflect the full experience of the world we live in to contextualize our data-derived insights.

By elevating women and other underrepresented groups, we have the opportunity to build a truly incredible and thriving field that influences decision-making at every level in a meaningful way.