Background

Muniba Talha has been nominated as Top 100 in Nordics within Data Analytics AI and Machine learning. She is a lecturer in Business Economics and IT at Copenhagen School of Design and Technology (KEA) where she teaches Data Science, Machine Learning, Data Visualization, and Big Data along with some courses on Project Management, Digital Strategy, and Digitalization.

Prior to this position, Muniba worked in Project and Team lead positions delivering robust software products and developing agile teams.

Muniba is passionate about empathetic leadership, community building, diversity, and inclusion. She is the founder of Women in Data Science and Machine Learning, a community open to everyone but particularly supporting, educating, and empowering women in this field.

Motivation

I believe mentoring like teaching is a reciprocal journey and it enriches both the mentor and the mentees. In the act of teaching and imparting knowledge, I find myself deepening my own understanding of intricate data science concepts. The dynamic exchange of ideas with my mentees, who bring diverse perspectives and fresh approaches, inspires me to continually broaden my horizons. Besides that, I have a genuine desire to give back to the community.

Through mentoring, I can provide guidance and support to others on their path to success which brings me an indescribable sense of fulfilment. The opportunity to serve as a mentor will enable me to play an active role in shaping the next generation of data scientists, helping them overcome obstacles, and witnessing their remarkable transformations.

Furthermore, participating in the mentoring program opens doors to networking opportunities within the data science community which I value a lot.

Skills, expertise, and interests

• data science
• data analytics
• data visualisation
• big data
• data management
• machine learning
• consulting
• software engineering
• work-life balance
• leadership
• teamwork
• project management
• digitalisation
• business innovation
• strategy

Programming languages and software

• Python
• SQL
• PowerBI
• Excel
• Tableau