# Ahmad Ramiz Qeyam

Ahmad Ramiz Qeyam is a remote worker on Himalayas, Machine Learning Engineering Intern at InnoForce Group, based in Kazakhstan.

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

```text
Machine learning engineer who denoised bus GPS trajectories at InnoForce Group and built a loan-risk model with 0.738 ROC-AUC.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Kazakhstan |
| Authorized to work in | Kazakhstan |
| Salary expectations | 50k+ USD |
| Job categories | Machine Learning Engineer, AI Researcher, Data Analyst |
| Skills | Machine Learning, predictive modeling, Data Analysis, Data Cleaning, data preprocessing, Exploratory Data Analysis, Feature Engineering, Classification, Deep Learning, Neural Networks, Image Recognition, GPS Trajectory Denoising, Outlier Removal, EMA, Savitzky Golay Filters |

## About

```text
At InnoForce Group, I worked on denoising bus GPS trajectories for public transport monitoring. I applied Exponential Moving Average, Savitzky-Golay, and Kalman filtering, and built a preprocessing and evaluation workflow for GPS data.

For my LendingClub Loan Risk Prediction project, I built an end-to-end machine learning pipeline on approximately 2.26 million loan records and compared classification models. I tuned the classification threshold and achieved 0.738 ROC-AUC and 0.420 PR-AUC on the test set.
```

## Experience

### Machine Learning Engineering Intern

InnoForce Group. Jan 2026 - Mar 2026

```text
Worked on bus GPS trajectory denoising using outlier rejection and smoothing techniques for public transport monitoring. Applied EMA, Savitzky-Golay, and Kalman filtering to reduce GPS noise and improve trajectory quality.
```

Skills: Python, Geospatial-Data-Processing, EMA, Savitzky-Golay-Filters, Kalman-Filter, data-preprocessing, Trajectory-Analysis, Anomaly-Detection

### AI Research Intern

Al-Farabi Kazakh National University. Jun 2024 - Aug 2024

```text
Conducted research on machine learning algorithms for classification and predictive analytics applications. Analyzed and cleaned large datasets, improving data quality and supporting more reliable model outcomes.
```

Skills: Machine-Learning, Data-Cleaning, Data-Analysis, Research, Technical-Documentation

## Education

### Al-Farabi Kazakh National University

Bachelor of Computer Science, Computer Science

```text
Bachelor of Computer Science degree from Al-Farabi Kazakh National University, expected to complete in 2026.
```

### Stanford University

Professional Development, Machine Learning. 2025 - 2025

```text
Completed professional development courses in Supervised Machine Learning: Regression and Classification and Advanced Learning Algorithms.
```

### Imperial College London

Professional Development, Mathematics. 2025 - 2025

```text
Completed professional development course in Mathematics for Machine Learning: Linear Algebra.
```

## Tech stack

- Pandas
- Python
- TensorFlow
- Google Workspace
- Git
- Ema
- Matplotlib

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

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