DR. CANER KILINC
Expert in AI-native  Products and systems

Some more words about me:

With 20 years of experience, I have a proven track record of leading multi-million global data/ML/AI projects/programs, managing globally distributed customer-centric innovation AI programs and cross-functional teams. 

I excel at translating data-driven business strategies into tangible business assets such as data-driven services and products which help our customers to minimize the CAPEX/OPEX and avoid problems before they become disruptive. 

As a hands-on data scientist and machine learning leader, I work closely with stakeholders to develop the data and ML/AI strategy, roadmap and execute end-to-end data-driven projects including problem definition, data collection, data pre-processing, building data pipelines, developing machine learning models, and real-time data-driven system proof of concept implementations. I effectively communicate the project results to stakeholders and executives at all levels. 

In addition, I have a proven track record of hiring and developing, and growing people e.g. new employees, consultants, Ph.D. and Master Interns. I am a strong team player and business value creator, constantly striving for growth and eager to shape the future of data-driven solutions. My passion for delivering meaningful business outcomes through data analytics and corporate strategy drives me to excel in my work. 

My Vision: 

Meeting the requirements of the business and services is only possible via data-driven solutions. 

My Accomplishments and Awards:

• Nominated - Ericsson Global Leadership Program (link),

• Selected - Ericsson Global Tech Talent (link),

• Mentor - Ericsson Applied Data Science Mentor (link),

• Award - Ericsson Wallenberg RnD Award 35000€ - 2018,

• Co-inventor of 5G: co-author of two 5G automation Wiley books, and 30+ academic publications (top tier conferences and academic journals), as well as co-inventor of 30+ US patents,

• Award - Ph.D. Scholarship in “Data/AI-Driven Automation” from The University of Edinburgh, UK, (world ranking 10), 2018

• Award - Best Master Thesis of The Year - 2013 LTU, Sweden

My Skills:

• Global Data and AI-driven automation Projects and Product Management skills for end-2-end real-time data-driven solutions (from scratch to production)

• Technical skills: Python, Machine Learning Tools e.g. Scikit-learn, TensorFlow Deep learning, Grafana - Data Visualisation,  Kubernetes, OpenStack, Spark, SQL, Git