EAEsra Akca

Esra Akca · Senior Data Scientist

Data Science,Artificial Intelligence& Industrial Innovation

Senior Data Scientist working at the intersection of statistics, machine learning, industrial AI, and real-world business impact.

Borusan Makina ve Güç Sistemleri R&D / CaterpillarIstanbul, Türkiye
Esra Akca presenting at a professional event

Senior Data Scientist

Esra Akca

Artificial Intelligence & Robotics

AI · Data · Impact

Focus areasMachine LearningIndustrial AIStatisticsR&DInnovation

About

Turning analytical depth into practical progress.

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.

01

Research-minded

Grounded in statistics, evidence, and thoughtful experimentation.

02

Impact-oriented

Focused on solutions that move from models into operations.

03

Openly shared

Making complex AI ideas useful to wider professional communities.

Expertise

Built for complexity. Grounded in outcomes.

A multidisciplinary practice spanning statistical foundations, machine intelligence, industrial context, and knowledge sharing.

01

Industrial AI & Predictive Analytics

Building data-led approaches that anticipate operational needs and support more proactive decisions.

02

Machine Learning & Statistical Modeling

Combining modern machine learning with statistical rigor to uncover reliable patterns in complex data.

03

Sound-Based Fault Detection

Exploring machine sounds as a rich signal for earlier, smarter malfunction diagnosis.

04

Data Science R&D

Turning emerging methods into testable concepts and practical industrial applications.

05

Applied Statistics

Using statistical thinking to frame the right questions, validate outcomes, and clarify uncertainty.

06

AI for Business Impact

Connecting technical capability with operational value, efficiency, and meaningful business outcomes.

07

Academic Research & Reviewing

Contributing to peer-reviewed work and academic evaluation across AI and data science.

08

Public Speaking & Mentoring

Sharing interdisciplinary ideas with students, researchers, and industry professionals.

Selected projects / impact

Where models meet machinery.

Selected themes across applied AI, operational intelligence, innovation, and shared learning.

Featured project

AI-Based Sound Diagnosis for Construction Machinery

A machine learning approach focused on detecting potential malfunction signals from construction machinery sounds, supporting faster diagnosis and more proactive service operations.

Sound AICNNFault DetectionIndustrial AI

Applied intelligence

Data Science Applications in Industrial Operations

Applied data science and statistical modeling to transform operational data into actionable insights for industrial use cases.

Data SciencePredictive AnalyticsOperations

Innovation

Innovation Through AI at Scale

Contributed to AI initiatives recognized in innovation and technology leadership contexts, reflecting the value of applied AI in heavy equipment and service operations.

InnovationR&DBusiness Impact

Knowledge sharing

Statistics & AI Knowledge Sharing

Shared perspectives on interdisciplinary statistics and industrial AI applications with university communities and professional audiences.

SpeakingEducationAI Awareness

Research & publications

Evidence first. Curiosity always.

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.

Artificial IntelligenceSound-Based DiagnosisApplied StatisticsIndustrial Data Science
Highlighted research

CNN Based Ensemble Approach for Malfunction Detection from Machine Sounds

A research work exploring the use of sound data and machine learning methods for malfunction detection in construction machinery.

View publications

Talks & knowledge sharing

Ideas grow when they travel.

Bringing industry and academia into the same conversation—through practical examples, interdisciplinary thinking, and open exchange.

01

Industry & academia

Interdisciplinary Statistics and Artificial Intelligence Applications in Industry

Connecting the statistical foundations of data science with real industrial AI use cases.

02

Community talks

University Data Science Community Sessions

Conversations with student communities, including data science and management information systems audiences.

03

Professional events

Conference / Keynote Participation

Contributing an applied AI perspective to professional and interdisciplinary conference programs.

04

Mentoring & awareness

AI Awareness for Students and Professionals

Making AI more tangible through practical examples, honest context, and shared learning.

Beyond work

Beyond Data

Outside her professional work, Esra enjoys activities that combine discipline, rhythm, balance, and exploration.

Beyond data · 01

Yan Flüt / Flute

A creative practice shaped by rhythm, breath, and expression.

Beyond data · 02

Tennis

Focus, timing, and disciplined movement.

Beyond data · 03

Pilates

Balance, strength, and mindful consistency.

Beyond data · 04

Sailing

Exploration, strategy, and harmony with nature.

Contact

Let’s connect ideas with impact.

For speaking opportunities, research collaboration, professional networking, or AI-focused conversations, connect with Esra through LinkedIn.

LinkedInEmail

esra.akca@yandex.com