Research-minded
Grounded in statistics, evidence, and thoughtful experimentation.
Esra Akca · Senior Data Scientist
Senior Data Scientist working at the intersection of statistics, machine learning, industrial AI, and real-world business impact.

Senior Data Scientist
Esra Akca
Artificial Intelligence & Robotics
AI · Data · Impact
About
Esra Akca is a Senior Data Scientist focused on applying artificial intelligence, machine learning, and statistics to industrial problems. Her work bridges research and real-world operations, with a strong emphasis on creating measurable impact through data-driven innovation.
She has contributed to AI research, patented data science applications, peer-reviewed publications, and industry-focused knowledge sharing. Her approach combines analytical depth, applied AI thinking, and clear communication with academic and business audiences.
Grounded in statistics, evidence, and thoughtful experimentation.
Focused on solutions that move from models into operations.
Making complex AI ideas useful to wider professional communities.
Expertise
A multidisciplinary practice spanning statistical foundations, machine intelligence, industrial context, and knowledge sharing.
Building data-led approaches that anticipate operational needs and support more proactive decisions.
Combining modern machine learning with statistical rigor to uncover reliable patterns in complex data.
Exploring machine sounds as a rich signal for earlier, smarter malfunction diagnosis.
Turning emerging methods into testable concepts and practical industrial applications.
Using statistical thinking to frame the right questions, validate outcomes, and clarify uncertainty.
Connecting technical capability with operational value, efficiency, and meaningful business outcomes.
Contributing to peer-reviewed work and academic evaluation across AI and data science.
Sharing interdisciplinary ideas with students, researchers, and industry professionals.
Selected projects / impact
Selected themes across applied AI, operational intelligence, innovation, and shared learning.
Featured project
A machine learning approach focused on detecting potential malfunction signals from construction machinery sounds, supporting faster diagnosis and more proactive service operations.
Applied intelligence
Applied data science and statistical modeling to transform operational data into actionable insights for industrial use cases.
Innovation
Contributed to AI initiatives recognized in innovation and technology leadership contexts, reflecting the value of applied AI in heavy equipment and service operations.
Knowledge sharing
Shared perspectives on interdisciplinary statistics and industrial AI applications with university communities and professional audiences.
Research & publications
Esra’s research interests include artificial intelligence, machine learning, sound-based diagnosis, applied statistics, and industrial data science. Her work includes peer-reviewed publications and contributions to academic evaluation processes.
A research work exploring the use of sound data and machine learning methods for malfunction detection in construction machinery.
View publicationsTalks & knowledge sharing
Bringing industry and academia into the same conversation—through practical examples, interdisciplinary thinking, and open exchange.
Industry & academia
Connecting the statistical foundations of data science with real industrial AI use cases.
Community talks
Conversations with student communities, including data science and management information systems audiences.
Professional events
Contributing an applied AI perspective to professional and interdisciplinary conference programs.
Mentoring & awareness
Making AI more tangible through practical examples, honest context, and shared learning.
Beyond work
Outside her professional work, Esra enjoys activities that combine discipline, rhythm, balance, and exploration.
Beyond data · 01
A creative practice shaped by rhythm, breath, and expression.
Beyond data · 02
Focus, timing, and disciplined movement.
Beyond data · 03
Balance, strength, and mindful consistency.
Beyond data · 04
Exploration, strategy, and harmony with nature.