# Anastassiya Rezayeva

Anastassiya Rezayeva is a remote worker on Himalayas, Machine Learning Engineer at KIVORK, based in Kazakhstan.

Source: https://himalayas.app/@anastassiyarezayeva

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

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Kazakhstan |
| Authorized to work in | Kazakhstan |
| Salary expectations | 60k+ USD |
| Job categories | Machine Learning Engineer, AI Engineer |
| Skills | Machine Learning, predictive modeling, Recommendation Systems, Anomaly Detection, Data Pipelines, Natural Language Processing, Deep Learning, Supervised Learning, Unsupervised Learning, Large Language Models, Multi Modal Models, RAG, Vector Databases, Feature Engineering, Model Selection |
| GitHub | https://github.com/iishigami |

## About

```text
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

### Machine Learning Engineer (current)

KIVORK. Mar 2025 - Present

```text
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%.
```

Skills: Python, Pandas, SQL, Amadeus, Sabre, Anomaly-Detection, Data-Pipelines, Recommendation-Systems

### Lecturer & Teaching Assistant - Machine Learning Algorithms

Astana IT University. Nov 2023 - Mar 2024

```text
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.
```

Skills: Machine-Learning, Python, Curriculum-Design, Mentorship, Assessments

### AI / ML Engineer Intern

DALART. Mar 2023 - May 2023

```text
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%.
```

Skills: Python, NLP, Machine-Learning, Swift, Object-Oriented-Programming, Feature-Engineering, Model-Selection

### Software Engineering Intern

SFERAGROUP. Nov 2022 - Mar 2023

```text
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.
```

Skills: Swift, RxSwift, Snapkit, VIPER, iOS, Machine-Learning, Unit-Testing, UI-Testing, CI-CD

## Education

### Astana IT University

Master's degree, Computational Sciences. 2023 - 2025

```text
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

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

## Tech stack

- Jupyter
- NumPy
- Pandas
- Python
- Swift
- TensorFlow
- PyTorch
- MLflow
- scikit-learn
- FastAPI
- Linux
- Git
- Docker
- SQL
- RxSwift
- Faiss
- REST APIs

To contact Anastassiya, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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