Topic
A/B Testing (9) API (1) Artificial Intelligence (31) Automation (6) Automattic (20) best practices (10) Bias in AI (6) Books and Reading (6) Career and Professional Development (14) Causal Inference (1) Communication (14) Conferences and Events (5) Data Analytics (23) Data Discoverability (4) Data Engineering (12) Data Ethics (10) Data Products (1) Data Science (53) Data Speaker Series (4) Data Visualization (23) Deep Learning (3) Distributed Work (8) Diversity and Inclusion (8) Elasticsearch (8) Experimentation (12) Information Retrieval (6) Learning and Education (6) Machine Learning (43) Marketing Analytics (7) Meetup (2) Natural Language Processing (6) Network Analysis (8) Open Source (7) Productivity (10) Python (8) Remote Work (21) Scientific Communication (10) Semantic Search (2) Social Media Analytics (1) Software Engineering (4) Surveys and Research Methods (1) Tech Industry (14) Technology Trends (1) Time Series Analysis (2) Transparency in Data (2) WordPress (21) WordPress.com (1) Work Life Balance (6)
Welcome to Women of Datamattic—conversations with some of the remarkable women working all over the world to build, maintain, and explore Automattic’s data landscape and make the web a better place. Today’s interviewee is the Code Wrangler, Menaka Sankaralingam.
Welcome to Women of Datamattic—conversations with some of the remarkable women working all over the world to build, maintain, and explore Automattic’s data landscape and make the web a better place. Today’s interviewee is our Head of Data, Anna Elek.
Most people automate parts of their job because they find it boring. I did it because I have four kids. I used Alfred, Stream Deck, and Apple Shortcuts to automate my workflow and make the start of my day easier.
During an interview, a candidate recently asked me why, after more than five years, I still work at Automattic. Why? I like the people I work with, and they alone are […]
Greg, Anna, Anand, Anna, and Robert — who come from a variety of backgrounds ranging from fullstack software development to linguistics, hardcore math, and more — share how they came to work with data at Automattic.