Transforming Complex Data into Actionable Business Intelligence

Dual B.Sc. Graduate in : Industrial Engineering & Management with specializing in Information Systems + Computer Science with specializing in Data Science & Deep Learning

Currently: Project Planning & Control Engineer | Data Analyst
Seeking: Data Engineering | BI Development | Analytics roles

What I Do:

• Build scalable data pipelines and analytics solutions
• Transform raw data into strategic business insights
• Develop interactive dashboards and reporting systems
• Implement ML models for predictive analytics

React + Firebase + AI Integration

• Built intelligent photo sharing app with face recognition for group trips
• Implemented real-time collaboration features with Firebase backend
• Developing AI-powered personalized galleries using face detection APIs
• Technologies: React, Firebase, TailwindCSS, Face Recognition APIs, Vite

YOLOv8 + Computer Vision + Real-Time Processing

• Developed custom YOLOv8 model for real-time detection of police cars, traffic cones, road signs, and accidents
• Implemented advanced data pipeline with negative mining to reduce false positives by 40%
• Trained on Israeli road dataset with 640×640 resolution achieving high mAP performance
• Technologies: YOLOv8, Python, OpenCV, ONNX, Ultralytics, Computer Vision

Full-Stack E-Commerce Platform

• Developed comprehensive digital marketplace for asset trading (tickets, subscriptions, digital products)
• Implemented secure authentication, role-based access control, and automated order processing
• Built RESTful API with complete CRUD operations and admin dashboard
• Technologies: Node.js, Express, MongoDB, JavaScript, HTML/CSS

NumPy + PyTorch + Computer Vision

• Built neural networks from scratch using NumPy, achieving 95.6% accuracy on gesture recognition
• Developed multi-class CNN for sign language digits with 98.93% validation accuracy
• Implemented fine-grained car classification using ResNet-50 transfer learning (73.78% accuracy on 196 categories)
• Technologies: PyTorch, NumPy, CNNs, Transfer Learning, Image Classification

Web Scraping + Machine Learning + Active Learning

• Scraped real-time hotel data from Booking.com and Expedia using Playwright and BeautifulSoup
• Developed Gaussian Process Regression with uncertainty-driven sampling, reducing data needs by 75%
• Achieved R² > 0.94 with only 6-8 samples per hotel group through active learning
• Technologies: Playwright, BeautifulSoup, Gaussian Process, Active Learning, Web Scraping

Power BI + Tableau + Business Analytics

• Created comprehensive BI solutions for fitness studio, aerospace company, and sports business
• Developed KPI tracking systems improving revenue performance and operational efficiency
• Built geographic analysis dashboards for market expansion and customer segmentation
• Technologies: Power BI, Tableau, Excel, Business Intelligence, Data Visualization

class AdirEdri:
    def __init__(self):
        self.role = "Data Engineer & Analytics Developer"
        self.education = ["B.Sc. Industrial Engineering", "B.Sc. Computer Science"]
        self.specialization = ["Information Systems", "Deep Learning & Data Science"]
        
    def get_value_proposition(self):
        return {
            "business_acumen": "Industrial Engineering background",
            "technical_depth": "Computer Science expertise",
            "practical_experience": "Project Planning & Control",
            "data_focus": "End-to-end analytics solutions"
        }
        
    def current_focus(self):
        return "Building scalable data solutions that drive business growth"

Ready to discuss your next data challenge?

• LinkedIn: Connect with me
• Email: adire7399@gmail.com
• Groupify: View my work

"Data is the new oil, but insights are the new gold." - Transforming your data into strategic advantages.