Aleksandr Ahramovich
Head of AI/ML Center of Excellence
I lead companies through AI transformations by defining efficient applications of AI technologies and supervising the adoption journeys.
About Aleksandr
Aleksandr is an experienced AI leader with a proven track record of implementing successful AI/ML-driven solutions and managing large-scale projects from ideation to post-deployment support. With a strong background in artificial intelligence, Aleksandr has been directing the work of Itransition’s AI/ML Center of Excellence since 2019.
He is responsible for managing a unit of over 50 employees from cross-functional teams, providing guidance and mentorship to ensure their professional growth. He also guides companies through their AI transformations, giving advice on how to best introduce AI technologies into their existing tech ecosystems.
Examples of Aleksandr’s recent projects include the following:
- A financial system chatbot providing answers to users’ questions from the database
- A model predicting customer churn for an insurance company
- A computer vision solution for advertising efficiency analysis and reporting
- A stock price prediction model for a trading platform
- A plancton pathology recognition solution
Through his trusted leadership and dedication, Aleksandr is driving excellence in Itransition’s AI and ML technologies, such as computer vision, natural language processing, and data mining, helping multiple international clients achieve their goals and keep pace with the growing trend for applying AI-based technologies in various domains.
Expertise
- Artificial intelligence
- Machine learning
- Predictive analytics
- Computer vision
- Data science
- Neural networks
- Deep learning
- Data mining
- Speech recognition
- Reinforcement learning
- Fraud and anomaly detection solutions
- Recommendation systems
Education
Belarussian State University
BA, Business Administration and Management
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Published works
AI in social media: use cases, top tools & adoption challenges, March 25, 2024
Machine learning in marketing:
 10 use cases and implementation tips, March 25, 2024
Machine learning for fraud detection: essentials, use cases, and guidelines, December 27, 2023
Artificial intelligence in HR: use cases, platforms & adoption challenges, March 28, 2024
Machine learning in real estate: use cases, examples, and adoption guidelines, March 28, 2024
AI in fintech: use cases,
 solutions & implementation challenges, March 28, 2024
Artificial intelligence in architecture: 10 use cases and top technologies, March 28, 2024
Computer vision in manufacturing: 9 use cases, examples, and best practices, April 16, 2024
Recommendation systems and machine learning: approaches and case studies, March 29, 2024
AI in the workplace: 10 key use cases, benefits, and challenges, March 30, 2024
Predictive analytics in retail: use cases, examples & adoption guide, April 4, 2024
Supervised vs unsupervised machine learning: a selection guide, October 31, 2023
Top machine learning use cases and industry applications, March 28, 2024
Machine learning in education: 10 use cases, examples, and benefits, January 24, 2024
Predictive analytics in healthcare: top use cases & adoption tips, March 4, 2024
Predictive analytics in HR: use cases and implementation advice, March 25, 2024
AI in CRM: top use cases, best platforms, and guidelines, April 18, 2024
AI in sports: top use cases, real-life examples & adoption challenges, January 24, 2024