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
Chief Data Officer at Bitly
Anupama Joshi
Dir. AI, Personalization, Computer Vision & MLaaS at Target
Rhonda Textor
Head of Data Science at True Fit
Sivan Aldor-Noiman
Head of Data Science & Data Engineering at Wellio
Anjali Samani
Director, Data Science at Salesforce
Nancy Ceseña
Data Scientist at Great Place to Work US
Noemi Derzsy
Senior Inventive Scientist at AT&T Labs
Rochelle March
Data Science Manager at S&P Global
Gabriela de Queiroz
Sr. Machine Learning Manager at IBM
Nandika Donthi
Data Engineer - Active Learning at Wellio
Dhivya Rajprasad
Lead Data Scientist at Levi Strauss & Co.
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.
