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The Kitale Women in Machine Learning & Data Science community is hosting a panel discussion on how to prepare for interviews in data and analytics roles, in collaboration with local academic institutions, training centers in Trans Nzoia region.

Agenda
Welcome & Introductions
Overview of the Kitale–Eldoret Women in Machine Learning & Data Science community
Panel Discussion: How to Prepare for Data Roles Interviews
Insights from practitioners on interview preparation for Data Analyst, Data Scientist, and related roles
Key Focus Areas

  • Technical interview expectations (SQL, Python, analytics)
  • Projects, portfolios, and academic work
  • Behavioural and take-home interviews
  • Common mistakes and practical preparation tips
  • Q&A Session
  • Open questions from attendees
  • Networking
  • Connect with peers, panelists, and institutional partners

šŸŽ’ What to Bring
A notebook or laptop (optional, for notes)
Your questions about data interviews or career paths
A CV or portfolio in mind (no need to submit—used for guidance only)

No prior advanced technical experience is required.

šŸ“ Open to participants from Kitale, Eldoret, and the wider Rift Valley region.

šŸŽÆ Who Should Attend
University and TVET students in ICT, data, or related fields
Recent graduates and early-career professionals
Institutions and organizations supporting women in STEM

šŸ¤ Interested in Partnering?
Institutions and organizations interested in co-hosting, speaker participation, or student engagement are welcome to collaborate.

Related topics

Machine Learning
Big Data
Data Mining
Data Science
Data Visualization

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