Spending power
TheGrid Corporate Spending Power index would rate purchasing capacity from registry, scale and activity signals.
Spending power
Key facts
Founded
2019
7 years
Office countries
1
1 address
Company type
Nonprofit
self-reported
Description
We are the Sydney Chapter of Women in Machline Learning and Data Science (WiMLDS), and WiMLDS is an international 501(c)(3) organization. Our mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science.
We create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning, as well as hosting technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.
Contact us at sydney@wimlds.org.
Specialties
All 10 specialties
- Data Science
- Machine Learning
- Data Analysis
- Python
- R
- SQL
- Big Data
- Female Friendly
- AWS
- Hadoop
Related specialties
Locations
Country footprint
Show as table · Offices in 1 country
| Countries | 1 |
|---|---|
| Primary country | AU |
All codes: AU
Addresses
- AUSydney, NSW 2000Primary
Grid intelligence Members
Signals & hiring
Hiring, headcount and registry-change signals, streamed to members.
Latest signal
Hiring activity
Headcount trend
Financials
Registry-filed capital and financial indicators, standardised by TheGrid.
Paid-up capital
Fiscal period
Registered charges
Revenue
Profit / loss
FAQ
Where does Women in Machine Learning and Data Science, Sydney have offices?
One address on record, Australia only. Primary: Sydney, NSW 2000.
What does this brand list as its specialties?
Ten tags on the brand's own list, among them machine learning, python and sql.
Which companies are listed alongside this brand?
5 profiles list Women in Machine Learning and Data Science, Sydney as a peer — 67th percentile in Non-profit Organization Management. It lists seven peers of its own. Data Science Volunteers lists it back.