Gulmira Iskendirnova
, Tokyo Tech), leveraging a rigorous mathematical approach to develop and deploy effective AI/ML solutions for complex business problems.
About
I am a Machine Learning Engineer with a strong engineering foundation (M.Eng., Tokyo Tech), leveraging a rigorous mathematical approach to develop and deploy effective AI/ML solutions for complex business problems.
I combine analytic depth with practical execution, translating statistical insights and predictive models into scalable tools that drive innovation and informed decision-making.
- 4 years' experience
- Joined January 2026
Industry experience
- Computers & Electronics
- Software & Internet
- Financial Services
- Education
- Professional Services
More experts in Almaty, Kazakhstan
Work experience· 4 roles
Developed a prototype for product code prediction by fine-tuning a RuBERT transformer model on textual descriptions using PyTorch. Responsibilities included data pre-processing, model configuration, and initial training cycles, building a foundation for a potential automated classification system to improve procurement efficiency.
Developed and validated a robust credit risk model to address extreme class imbalance (2% default rate in production data). Achieved 70% recall for the critical minority class with a GINI of ~72%, demonstrating advanced feature engineering and model selection for low-signal, high-noise data.
Designed and delivered professional courses in Python, Machine Learning (regression, tree-based methods, k-NN), and Time-Series Analysis, explaining complex concepts to diverse audiences.
Education
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