Initializing Portfolio
AI & Data Engineer — Algeria

Akram
Belhadi

Data Analyst · Data Engineering · AI Engineering
Building intelligent systems from raw data to real-world impact.

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Profile

About Me

Data-driven AI and Data Science student, age 23, targeting roles in Data Analysis, Data Engineering, and AI Engineering. Based in Eloued, Algeria — open to remote.

Hands-on experience in machine learning, computer vision, and data analytics. Proven ability to design, implement, and optimize data pipelines, predictive models, and real-time event detection systems.

Adept at transforming complex datasets into actionable insights and building scalable AI solutions. Strong foundation in Python, SQL, TensorFlow, and cloud-based analytics.

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Eloued, Algeria — Available Remote
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+213 665 684 972
0K+ Annotated Images Processed
0 Major Projects Delivered
0+ Technologies Mastered
0 Expected Graduation
Expertise

Technical Skills

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Programming
Python Java SQL
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ML & AI
TensorFlow Keras LSTM DETR YOLO
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Data Analysis
Pandas NumPy Matplotlib Seaborn Streamlit
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Databases & ETL
SQLite MySQL ETL Data Cleaning
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Computer Vision
Image Processing Object Detection Roboflow Preprocessing
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Tools & Platforms
Git / GitHub Google Colab Firebase Android Studio
Python & Data Science92%
Machine Learning / Deep Learning85%
Computer Vision (YOLO, DETR)80%
SQL & Data Engineering78%
Android Development (Java)65%
Career

Professional Experience

2024 — Present
AI & Computer Vision Research Intern
University Projects — Algeria
  • Developed a real-time football event detection system using DETR and LSTM, processing 30,000+ annotated images.
  • Designed object detection models to track players, referees, and ball movements during matches.
  • Implemented data preprocessing pipelines for YOLO-formatted datasets ensuring high-quality training data.
2024
Data Science & ML Project
Potato Disease Classification
  • Engineered dataset pipelines for classifying potato images as healthy or diseased using TensorFlow/Keras.
  • Achieved high-accuracy classification contributing to agricultural disease detection solutions.
2023 — 2024
Android Developer
Food Ordering App
  • Developed an Arabic-language mobile application integrating Firebase for backend, authentication, and order tracking.
  • Built a multi-layer mobile app architecture supporting real-time updates.
2023 — 2024
Multi-Agent System Developer
Educational Platform
  • Built interactive agent-based systems using JADE framework for student-professor interfaces.
  • Designed simulation models enabling dynamic educational interactions.
Portfolio

Key Projects

01
Football Event Detection System
Real-time object detection and event classification system using DETR and LSTM architectures. Processed 30,000+ annotated images to detect player movements, referee positions, and ball tracking during live matches.
DETR LSTM YOLO Python Roboflow
02
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Potato Disease Classification
High-accuracy ML model for agricultural disease detection. Classifies potato plant images as healthy or diseased, supporting early intervention for crop protection with a full automated data pipeline.
TensorFlow Keras CNN Python Data Pipeline
03
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Interactive Dashboards
Banking and transaction analytics dashboards built with Streamlit. Features dynamic KPI tracking, visual data exploration, and real-time filtering of financial datasets.
Streamlit Pandas Matplotlib Seaborn SQL
04
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Arabic Food Ordering App
Full-featured Android application in Arabic with real-time Firebase backend integration. Includes authentication, order tracking, multi-layer architecture, and live order updates.
Java Android Firebase Realtime DB
Academic

Education & Certifications

Bachelor of Science in Artificial Intelligence & Data Science
University of Algiers — Algeria
Expected Graduation: 2025

Certifications

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TensorFlow & Keras
Online Course — 2024
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Projects Portfolio
Kaggle · GitHub · Applied Projects
Reach Out

Get In Touch

Open to Data Analyst, Data Engineer, and AI Engineering opportunities — remote or on-site. Feel free to reach out for collaborations, projects, or just a conversation about AI.

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Email
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Phone
+213 665 684 972
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Kaggle
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Twitter / X

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