Analyzes how Agile methodologies like Scrum can be applied to data science teams, highlighting effective practices and inherent challenges.
A summary of a panel discussion on various data roles (data scientist, ML engineer, etc.), including key skills and career insights.
A panel discussion exploring whether Agile methodologies can be effectively applied to data science projects, featuring insights from industry experts.
A data science leader shares challenges of scaling a data science team at Lazada, focusing on balancing business input with ML automation.
A data science VP shares how Lazada uses machine learning for e-commerce, including automated review classification and product ranking.
A Data Science Lead shares key lessons from their first 100 days in a leadership role, focusing on mindset shifts, team alignment, and management practices.
A data science professional shares insights on what data analytics is and how to enter the field, aimed at university students.
A data scientist shares his career journey from psychology to Lazada, debunks common myths about the field, and offers practical advice for aspiring practitioners.
A guest lecture summary on starting a data science career, based on a talk for SMU's Masters in IT students.
Explores how fostering a culture of experimentation and tolerance for failure enables data science teams to innovate successfully.
DataKind Singapore's Project Accelerator connects volunteer data scientists with nonprofits to solve data challenges, like analyzing water consumption data.
