mmorsi4/depi-career-advisor-data-analytics-team

This repo is for the Digital Egypt Pioneers Initiative final project for the Intelligent Career Advisor and Job Application Platform, Data Analytics Team DEPI - Career Advisor and Job Application Platform Data Analytics Team ## 🎯 Our Role We are responsible for **collecting, processing, and transforming job market data into actionable insights** that support: - Market trend analysis (skills demand, salary ranges, emerging job roles). - Data visualization dashboards for users. - Validation of AI-driven recommendations. - Integration of insights into the platform to guide career decisions. ## ⚙️ Tools & Technologies - **Database & Querying:** SQL - **Data Processing:** Python (Pandas, NumPy) - **Data Visualization:** Plotly, D3.js - **Market Data Sources:** LinkedIn API, Glassdoor API - **Collaboration:** GitHub, Trello/Jira for task tracking ## 🗓️ Weekly Deliverables ### Week 1 – Project Initialization & Planning - Define scope of analytics tasks. - Contribute to architecture & data flow design. - Identify initial analytics requirements. ### Week 2 – Setup & Configuration - Define and document job market data sources. - Plan data collection pipelines and storage schema. ### Week 3 – Data Collection Kick-off - Begin collecting job market trends and labor data. ### Week 4 – Data Preprocessing - Clean and preprocess collected data for trend analysis. ### Week 5 – Early Insights - Provide initial data insights on job market trends. ### Week 6 – Validation - Test and validate accuracy of market trend predictions. ### Week 7 – Support AI Team - Support sentiment analysis evaluation (with AI/Data Science team). ### Week 8 – Final Analytics Dashboard - Deliver complete dashboard with interactive visualizations. - Finalize data models for market trend visualization. - Integrate analytics dashboard with backend APIs. ## 👥 Introducing Our Team: Streamline 🔹 Alhassan Muhammed 🔹 Maha Khaled 🔹 Menna Elnaiad 🔹 Mohamed Morsi 🔹 Yassin Harraz 🔹 Youstina Nader