{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Mohamed Ahmed Rashed Atia",
    "label": "Data Analyst",
    "email": "beshny2003@gmail.com",
    "phone": "+201050948781",
    "url": "https://bshni.github.io/portfolio/",
    "summary": "Data Analyst with an accounting degree from Alexandria University and hands-on training in Python, SQL Server, Power BI, and Tableau through the Digital Egypt Pioneers Initiative (DEPI), Round 5. Built three data analysis projects: a Python retail analytics pipeline, a SQL Server data warehouse with ETL, and linked Tableau dashboards. Combines accounting and financial reporting fundamentals with data cleaning, data visualization, and KPI reporting skills. English: C1.",
    "location": {
      "city": "Alexandria",
      "countryCode": "EG"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "bishnie",
        "url": "https://linkedin.com/in/bishnie"
      },
      {
        "network": "GitHub",
        "username": "bshni",
        "url": "https://github.com/bshni"
      }
    ]
  },
  "work": [
    {
      "name": "Digital Egypt Pioneers Initiative (DEPI), Round 5, Ministry of Communications and IT (MCIT)",
      "position": "Data Analyst Trainee",
      "location": "Alexandria, Egypt (Hybrid)",
      "startDate": "2026-07",
      "summary": "National scholarship and professional training track in data analytics.",
      "highlights": [
        "Selected for a national data analytics scholarship; completing six graded mini-projects and an end-to-end capstone.",
        "Apply Python (Pandas) and SQL (joins, CTEs, stored procedures, views) for data cleaning, EDA, and database design.",
        "Build interactive dashboards in Tableau and Power BI using Power Query, data modeling, and DAX."
      ]
    },
    {
      "name": "Commercial International Bank (CIB)",
      "position": "Online Internship",
      "location": "Alexandria, Egypt (Remote)",
      "startDate": "2024-09",
      "endDate": "2024-11",
      "summary": "Summer Internship Program.",
      "highlights": [
        "Completed five banking modules: operations, ESG, financial literacy, entrepreneurship, and digital transformation.",
        "Practiced professional communication and active listening in data-driven business contexts."
      ]
    }
  ],
  "projects": [
    {
      "name": "Superstore Sales & Customer Dashboards",
      "description": "DEPI Mini Project 3, team of 6. Tableau, SQL Server. 2026.",
      "startDate": "2026",
      "url": "https://github.com/bshni/tableau_superstore_sales_customer_dashboards",
      "keywords": [
        "Tableau",
        "SQL Server"
      ],
      "highlights": [
        "Built two linked Tableau dashboards on a SQL Server gold layer tracking sales, profit, quantity, and customers.",
        "Designed dynamic KPIs with year-over-year % change and Category and Sub-Category filters.",
        "Fixed inflated order counts by sourcing Order ID from the silver layer; reconciled to 325 customers in 2016."
      ]
    },
    {
      "name": "SQL Data Warehouse & Business Analytics",
      "description": "DEPI Mini Project 2. SQL Server, T-SQL, Python. 2026.",
      "startDate": "2026",
      "url": "https://github.com/bshni/sql_data_warehouse_business_analytics",
      "keywords": [
        "SQL Server",
        "T-SQL",
        "Python"
      ],
      "highlights": [
        "Built a retail data warehouse using Medallion architecture (Bronze, Silver, Gold) and a star schema.",
        "Automated ETL with Python, BULK INSERT, and stored procedures; added data quality checks and a data catalog.",
        "Wrote SQL analysis scripts and customer and product KPI views: recency, average order value, segmentation."
      ]
    },
    {
      "name": "Superstore Retail Analytics",
      "description": "DEPI Mini Project 1. Python, Pandas, SciPy. 2026.",
      "startDate": "2026",
      "url": "https://github.com/bshni/Mini-Project-001-Superstore-retail-analytics-project",
      "keywords": [
        "Python",
        "Pandas",
        "SciPy"
      ],
      "highlights": [
        "Built a Python pipeline on 9,994 retail orders ($2.29M sales, 12.4% margin) to identify profit drivers.",
        "Found a negative discount-profit correlation (r = -0.22); traced most losses to Tables, Bookcases, and Supplies.",
        "Developed reusable OOP cleaning and feature engineering classes; delivered 11 visualizations and a KPI report."
      ]
    }
  ],
  "education": [
    {
      "institution": "Alexandria University, Faculty of Commerce",
      "area": "Accounting",
      "studyType": "Bachelor's Degree",
      "startDate": "2022",
      "endDate": "2026",
      "score": "3.409",
      "courses": []
    }
  ],
  "skills": [
    {
      "name": "Data Analysis",
      "keywords": [
        "Python",
        "Pandas",
        "SciPy",
        "EDA",
        "Statistical Analysis",
        "Data Cleaning",
        "Feature Engineering",
        "OOP"
      ]
    },
    {
      "name": "Data Visualization & BI",
      "keywords": [
        "Power BI (Power Query, DAX, Data Modeling)",
        "Tableau",
        "Matplotlib",
        "Dashboard Design",
        "KPIs"
      ]
    },
    {
      "name": "Databases & Data Engineering",
      "keywords": [
        "SQL",
        "SQL Server",
        "T-SQL",
        "CTEs",
        "Stored Procedures",
        "Views",
        "Data Warehousing",
        "ETL"
      ]
    },
    {
      "name": "Tools",
      "keywords": [
        "Microsoft Excel",
        "Microsoft 365",
        "Google Sheets",
        "Git",
        "GitHub",
        "Jupyter Notebook"
      ]
    },
    {
      "name": "Business & AI",
      "keywords": [
        "Accounting",
        "Financial Reporting",
        "Data Governance",
        "Prompt Engineering"
      ]
    }
  ],
  "certificates": [
    {
      "name": "IBM Data Fundamentals",
      "issuer": "IBM SkillsBuild",
      "date": "2026-08"
    },
    {
      "name": "Associate Data Engineer in SQL",
      "issuer": "DataCamp",
      "date": "2026-01"
    },
    {
      "name": "AI Fundamentals Certificate",
      "issuer": "DataCamp",
      "date": "2025-12"
    },
    {
      "name": "Data Literacy Certificate",
      "issuer": "DataCamp",
      "date": "2025-08"
    },
    {
      "name": "McKinsey Forward Program",
      "issuer": "McKinsey & Company",
      "date": "2024-12"
    }
  ],
  "languages": [
    {
      "language": "Arabic",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "Advanced, C1 (EF SET 67/100)"
    }
  ]
}