I have been mentoring people for the last 9 years in the Data Science area and I see the following reasons for doing it further. * Personal satisfaction with guiding and sharing * Vehicle to keep “in touch” with issues and concerns around us * Opportunity to use and further develop leadership skills. * Enhanced and strengthened further interpersonal and coaching skills. Important in Mentor-Mentee relationship: * A partnership between a Mentee and a Mentor – providing both with opportunities to share talents, skills, experiences, and expertise. * Focused on the growth and development objectives of the Mentee * An investment of time, energy, and thought from both the Mentee and the Mentor. Method: * You will receive a set of questionnaires to give me more insights into your preferences * Once we both have agreed on a step forward, then only we start the sessions * Regular feedback is important to have the right impact
My Mentoring Topics
- Areas of Mentorship:
- How to start a career as a Data Scientist, Data Analyst?
- How to bring in Data-Driven Culture to your organisation?
- What is important for a Data Science team to make an Impact?
- Discussion on Use cases and implementation in a company?
- How to get buy-in from Stakeholders?
- Happy to add more as they come
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