Oya Aran
Director, R&D, Data Science and AI at Procter & Gamble
- Role
- Director at Procter & Gamble
- Location
- Cincinnati, OH, US
- LinkedIn followers
- 500 followers
About Oya Aran
Strong record of academic and business achievements on deep learning, computer vision, generative AI, machine learning, with applications on human behavior understanding, social & affective computing, and bioinformatics. Interdisciplinary and multinational experience in Europe, Asia, North America and in global teams.#deeplearning #syntheticData #generativeAI #LLM #LargeVisionModels
Experience
Director
Nov 2024 — Present · Cincinnati, OH, US
Leading a team of data/AI scientists driving advancements in computer vision, synthetic data generation, 3D human modeling, human action recognition (from video and sensor data), time series modeling, large vision and language models, generative models, and robotics. Oversee and execute high-impact AI projects across multiple organizational units, fostering cross-functional collaboration and strategic partnerships to maximize business value. Expanded leadership scope to manage a broader portfolio of AI initiatives, aligning R&D efforts with corporate strategy and ensuring seamless integration of AI-driven solutions. Develop and implement strategies to enhance AI capabilities and drive innovation at scale within the organization.
Education
Boğaziçi University
BS, Computer Engineering
1996 — 2000
60. Yil Anadolu Lisesi
High School
1989 — 1996
Boğaziçi University
MS, Computer Engineering
2000 — 2002
Boğaziçi University
PhD, Computer Engineering
2002 — 2008
Skills
- Data Science
- Software Engineering
- Speech Processing
- Computer Science
- Image Processing
- C
- Programming
- Information Retrieval
- Signal Processing
- Pattern Recognition
- Artificial Intelligence
- Statistical Signal Processing
- Digital Image Processing
- Matlab
- Image Analysis
- C++
- Computer Vision
- Natural Language Processing
- Neural Networks
- Opencv
- Python
- Latex
- Algorithms
- Machine Learning
- Data Mining
- Text Mining
- Mathematical Modeling
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