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Anastassiya Rezayeva

@anastassiyarezayeva

Machine Learning Engineer at KIVORK who automated ticket processing and cut manual booking operations by 35%.

At KIVORK, I built automated airplane ticket-processing pipelines that reduced manual booking operations by about 35%. I also developed fare recommendation logic that increased cost-efficiency by about 12% and anomaly detection heuristics that reduced ticketing errors by about 18%.

At DALART, I designed and deployed NLP predictive analytics features for a consumer application, helping decrease churn by 17%. I’ve also implemented ML-powered iOS features at SFERAGROUP and taught machine learning algorithms at Astana IT University.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

KIVORK

Mar 2025 - Present (1 year 8 months)

Built automated airplane ticket-processing pipelines using Python, reducing manual booking operations by ~35% and improving processing speed across Amadeus/Sabre systems. Developed rule-based recommendation logic for fare optimization, increasing cost-efficiency of ticket selection by ~12%.

Python Pandas SQL Amadeus Sabre Anomaly Detection Data Pipelines Recommendation Systems

Lecturer & Teaching Assistant - Machine Learning Algorithms

Astana IT University

Nov 2023 - Mar 2024 (4 months)

Designed and delivered ML Algorithms curriculum with hands-on Python labs, driving a class average of 86% with 0 failures. Mentored student ML assignments and project reviews, achieving 95% on-time completion.

Machine Learning Python Curriculum Design Mentorship Assessments

AI / ML Engineer Intern

DALART

Mar 2023 - May 2023 (2 months)

Designed and deployed NLP predictive analytics features into a consumer application, decreasing churn by 17% by improving personalization and in-app discovery. Increased prediction accuracy by 21% and reduced processing time by 30%.

Python NLP Machine Learning Swift Object Oriented Programming Feature Engineering Model Selection

Software Engineering Intern

SFERAGROUP

Nov 2022 - Mar 2023 (4 months)

Implemented ML-powered iOS features in Swift, integrating on-device inference and optimizing data pipelines to improve database efficiency by 30% and key user-experience metrics by 20%. Profiled performance hotspots and reduced memory usage.

Swift RxSwift Snapkit VIPER iOS Machine Learning Unit Testing UI Testing CI CD

Education

Degrees, certifications, and relevant coursework

Astana IT University

Master's degree, Computational Sciences

2023 - 2025

Pursued a Master's degree in Computational Sciences, with coursework in neural networks, numerical methods, and reinforcement learning. Thesis focused on parallelizing the K-Means clustering algorithm using OpenCL.

Astana IT University

Bachelor's degree, Software Engineering

2020 - 2023

Completed a Bachelor's degree in Software Engineering, covering algorithms, machine learning, and probability. Diploma project involved developing a mobile device status dashboard.