# Alaa Aldeen Kaadan

Arabic name: علاء الدين كعدان
Also known as: Alaa Kaadan / علاء كعدان

> Data analysis, backend systems, and applied AI

Data Analyst at Labby and an Information Technology Engineering graduate from Damascus University, specializing in Artificial Intelligence. Experience includes large-scale data analysis, real-time dashboards, data validation, geospatial analysis, backend systems, and applied AI.

أنا علاء الدين كعدان، وأُعرف أيضًا باسم علاء كعدان. محلل بيانات وخريج الهندسة المعلوماتية من جامعة دمشق، متخصص في الذكاء الاصطناعي. تشمل أعمالي تحليل البيانات وهندسة البيانات وتطوير الأنظمة الخلفية وتطبيقات تعلم الآلة باستخدام بايثون وSQL.

Portfolio: https://alaakaadan.com/
Last updated: 2026-11-13

## Contact and profiles

- Email: agent@alaakaadan.com
- GitLab: https://gitlab.com/Alaa-Aldeen-Kaadan
- LinkedIn: https://www.linkedin.com/in/alaa-aldeen-kaadan-795kh
- Resume (PDF): https://alaakaadan.com/assets/alaa-kaadan-cv.pdf
- Roles of interest: Data engineering roles; AI engineering roles.

## Work experience

### Data Analyst - Labby

2026-09 to present

Analyze ride-hailing data, build real-time dashboards using Lightdash and ClickHouse, and perform data validation and diagnostic analysis to investigate data quality and operational performance.

### Data Analyst - TruePositive

2024-11 to 2026-08

Focused on data analysis and working with large datasets, with contributions to backend and AI/ML tasks.

## Projects

### Khateeb

Role: Back-end and AI Engineer
Dates: 2024-10 to 2025-08

An AI application to train precise, diacritized Arabic pronunciation, addressing text diacritization and audio transcription.

مشروع خطيب لتدريب النطق العربي باستخدام الذكاء الاصطناعي، والتشكيل الآلي للنصوص، والتعرف على الكلام.

Contribution: Contributed across data engineering, algorithm development, and backend architecture. The team built a custom training dataset, adapted two variations of the Needleman-Wunsch algorithm, and deployed a resource-efficient backend for limited hardware.

Topics: Speech and language, Data engineering, Algorithms, Backend systems.
- Website: http://khteeb.ai

### Washington Daily Bike Rides

Role: Data Analyst
Dates: 2025-06 to 2025-07

Analysis of approximately 6.5 million bike ride records, augmented with bike station metadata and daily weather data.

تحليل نحو 6.5 مليون رحلة دراجة في واشنطن باستخدام بيانات المحطات والطقس، مع التحليل الجغرافي وتصور البيانات ببايثون.

Contribution: Described the dataset and investigated the relationships between daily revenue and time, location, proximity to bus stations, and bike type, using Python visualization and geospatial tools including GeoPandas.

Topics: Python, GeoPandas, Data visualization, Geospatial analysis.

The dashboard graphic on the portfolio is illustrative. Specific findings, revenue uplift, and other business impact metrics have not been published on this site.

### Deepfake Audio Detection

Role: Back-end Engineer
Dates: 2024-07 to 2024-08

A mobile application project for peer-to-peer calls with deepfake audio detection. The system paired a model API with a Django application for user data and history.

مشروع لكشف التزييف العميق للصوت، مع واجهة لنموذج الذكاء الاصطناعي ونظام خلفي باستخدام جانغو وإدارة المصادقة وبيانات المستخدمين.

Contribution: Worked on Django REST Framework, authentication with Knox, a voice-based authentication flow using the AI model and Google's voice recognition API, Swagger UI documentation, and model deployment.

Topics: Django REST Framework, Authentication, API design, Model deployment.

### Fifty Nine Plus One

Role: Full-stack Developer
Dates: 2023-10 to 2023-12

A production web product and Telegram bot involving PDF table extraction, data processing, and user input handling.

تطبيق ويب وروبوت تيليغرام لاستخراج البيانات من ملفات PDF ومعالجة المدخلات، باستخدام بايثون وجانغو.

Contribution: Worked with web scraping, PDF table extraction using Pandas and Tabula, JavaScript, Telegram bots, deployment, Django admin customization, and cleaning and interpreting user input.

Topics: Django, Python, PDF data extraction, Telegram bots.
- Website: https://fifty-nine-plus-one-frontend.alaa-kadaan-900.workers.dev/
- Telegram bot: https://t.me/ITEMarks_bot

## Education and certificates

- Information Technology Engineering, Damascus University. Specialization: Artificial Intelligence.
- CS50x
- CS50w
- Al Basil Certificate

## Competitive programming

- 5th place, DCPC 2023
- 27th place, SCPC 2023

## Technical skills

- Data analysis: Python, SQL, Pandas, GeoPandas, Plotly, Lightdash, Data cleaning and validation, Exploratory and diagnostic analysis.
- Databases: ClickHouse, DuckDB, PostgreSQL, MySQL, SQLite.
- AI and backend: Machine learning, Neural networks, Feature engineering, Django, Django REST Framework, Knox, Model deployment.
- Infrastructure: Docker, Bash, Server setup.

## Volunteering and coaching

### Red Blood Cells (RBCs) Team

Volunteer, coordinator, board member, and team leader; 2020-10 to 2025-08.

Progressed through lecture writing, IT and archive management, coordination, board membership, and team leadership. Led the faculty IT unit.

### ACM

Competitive Programming Coach; 2023-01 to 2024-08.

Coached students in programming, algorithm design, optimization, graph theory, greedy algorithms, and competition preparation.

## Content context

Project contributions distinguish individual responsibilities from team work. The site does not publish model accuracy, revenue uplift, or other unreported impact metrics. Decorative visuals are not experimental results.