# Maryam Ahmed Ali

Maryam Ahmed Ali is a remote worker on Himalayas, Senior Data Scientist at Careem, based in Lebanon.

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

```text
Data Scientist at Careem who improved multilingual dish retrieval embeddings, raising recall@10 by 10.2% and Arabic performance from 0 to 81%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Lebanon |
| Authorized to work in | Lebanon |
| Salary expectations | 30k+ USD |
| Job categories | Data Scientist, Machine Learning Engineer |
| Skills | Data Science, Machine Learning, Natural Language Processing, Recommendation Systems, Semantic Retrieval, Information Retrieval, Embedding models, predictive modeling, Statistical Analysis, Time series Forecasting, Data Engineering, ETL, Deep Learning, Computer Vision, Causal Inference |

## About

```text
At Careem, I developed and automated pipelines for training and evaluating dish retrieval embeddings, and created a unified dataset to support model development. I improved multilingual embeddings, increasing recall@10 by 10.2% and Arabic performance from 0 to 81%.

At Anghami & OSN+, I developed prediction and recommendation models, built data pipelines in Databricks with PySpark, and worked on Arabizi detection and machine translation. I also worked on semantic retrieval research and built benchmarks and dashboards to evaluate models.
```

## Experience

### Senior Data Scientist

[Careem](https://himalayas.app/companies/careem). Oct 2025 - May 2026

```text
Developed and automated scalable data pipelines for training and evaluating dish retrieval embeddings. Improved multilingual dish embeddings by 10.2% recall@10 and boosted Arabic from 0 to 81%.
```

Skills: Data-Pipelines, Machine-Learning, Embeddings, Multilingual-NLP, Evaluation-Systems, Web-Development

### Machine Learning Engineer

Anghami & OSN+. Jun 2022 - May 2024

```text
Developed and deployed a conversion prediction model, improving previous performance by 80% through advanced feature engineering. Built ETL pipelines in Databricks to process 100M+ users data using PySpark.
```

Skills: Python, scikit-learn, PySpark, Databricks, TensorFlow, Transformers, Hugging-Face, FastText, NLP, Recommendation-Systems, ETL, Causal-Inference

### Graduate Research Assistant

American University of Beirut. Sep 2020 - May 2022

```text
Conducted literature review in innovation and searched innovation indices worldwide. Prepared competitive review and performed data and statistical analysis for the OSB Innovation Index project.
```

Skills: Research, Data-Analysis, Statistical-Analysis, literature-review

### Research Assistant - Statistics Division

UN-ESCWA. Jan 2022 - Mar 2022

```text
Analyzed demographic and social data to assess data availability in Arab countries for an annual UN-ESCWA conference. Conducted statistical analysis, calculated scores, and visualized results.
```

Skills: R, Python, Matplotlib, SeaBorn, Excel, Statistical-Analysis, Data-Visualization

### Data Scientist - ICT Section

UN-ESCWA. Oct 2021 - Dec 2021

```text
Developed forecasting models (ARIMA, RNNs, Tree Ensembles) on IMF WEO data and compared models against IMF's official benchmarks. Delivered a technical report and visualizations.
```

Skills: Python, scikit-learn, Keras, ARIMA, RNN, Trees, Forecasting, Data-Visualization

### Computer Vision Intern

Zaka. Jun 2021 - Jul 2021

```text
Built CNN models for gender recognition to be used in video analytics systems.
```

Skills: Computer-Vision, CNN, Deep-Learning

## Education

### Zaka

Machine Learning Specialization, Machine Learning. 2025 - Present

```text
Ongoing 20-week Machine Learning Specialization training program covering data science fundamentals, machine learning algorithms, deep learning, computer vision, NLP, and deploying AI solutions.
```

### Beirut AI Bootcamp

Bootcamp, Artificial Intelligence. 2020 - 2020

```text
Intensive one-week bootcamp covering major topics in artificial intelligence including data science, deep learning, computer vision, NLP, and time series analysis.
```

### SE Factory

Foundations of Computer Science Bootcamp, Computer Science. 2019 - 2019

```text
Intensive 6-week bootcamp providing a solid understanding of computer science foundations using Python, covering algorithms, complexity analysis, and data structures.
```

### CFA Institute

CFA Program, Finance. 2016 - 2018

```text
Passed all three levels of the CFA program in three consecutive years, eligible for the CFA Charter upon completion of required work experience.
```

### KPMG

Virtual Internship, Data Analytics

```text
Data Analytics Consulting virtual internship certification.
```

### American University of Beirut

Master of Science, Business Analytics. 2020 - 2022

```text
Master of Science in Business Analytics with coursework in applied statistical analysis, data processing, predictive analytics, machine learning, optimization, simulation, forecasting, and data visualization.
```

### Damascus University

Bachelor's Degree, Economics. 2006 - 2011

```text
Bachelor's Degree in Economics with a focus on Banks & Insurance, graduated top of class out of 51 students and awarded the Superior Graduate Prize by the Ministry of Higher Education.
```

### Coursera

Mathematics for Machine Learning, Mathematics

```text
Mathematics for Machine Learning certification.
```

### DeepLearning.AI

Deep Learning Specialization, Deep Learning

```text
Deep Learning Specialization certification.
```

## Tech stack

- Tableau
- Pandas
- PySpark
- Databricks
- Python
- Scala
- TensorFlow
- PyTorch
- scikit-learn
- Keras
- Streamlit
- Transformers
- Git
- Amazon EMR
- SQL
- Hugging Face
- Seaborn
- Matplotlib

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

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