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    "name": "Usama Jhandve",
    "summary": "Computer Science graduate with strong attention to detail and a foundation in data analysis, documentation management, regulatory compliance, and process accuracy. Strong communication and organizational skills with an interest in trade finance and Islamic banking. Seeking a Trainee Trade Officer role to contribute to import/export documentation, trade compliance, and banking operations while developing professional expertise.",
    "location": "Karachi, Pakistan",
    "url": "https://linkedin.com/in/usamamari",
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        "username": "Usamamari",
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      "institution": "Iqra University",
      "degree": "Bachelor of Science",
      "field": "Computer Science",
      "startDate": "2022",
      "endDate": "2026"
    },
    {
      "institution": "Shah Abdul Latif College",
      "degree": "FSc Pre-Engineering",
      "startDate": "2021",
      "endDate": "2022"
    }
  ],
  "skills": [
    "Python",
    "MSSQL",
    "Java",
    "CSS",
    "HTML",
    "Communication",
    "Teamwork",
    "Problem Solving",
    "Adaptability",
    "Critical Thinking",
    "Customer Service",
    "Professional Ethics",
    "Time Management",
    "MS Excel",
    "MS Word",
    "MS PowerPoint",
    "Data Entry",
    "Internet & Email",
    "Data Analysis ",
    "Trade Compliance",
    "Documentation Management"
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      "fluency": "Fluent"
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      "fluency": "Native"
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      "name": "Object Detection in Satellite Images using YOLOv4-Tiny",
      "description": "Developed an object detection system for satellite images using YOLOv4-Tiny. Detected multiple classes including cars and swimming pools from high-resolution satellite imagery. Performed dataset preprocessing, annotation conversion (VOC to YOLO format), and model training using Darknet framework on Google Colab with GPU support. Achieved approximately 81% mAP with efficient real-time inference performance."
    },
    {
      "name": "Hybrid Deep Reinforcement Learning Framework for Stock Market Forecasting",
      "description": "Developed a stock market forecasting system using machine learning. Worked with financial datasets and data analysis. Applied analytical and problem-solving skills during system development."
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    {
      "name": "Banking Transaction Analysis using SQL",
      "highlights": [
        "Designed a relational banking database using SQL with customer, account, branch, and transaction records.",
        "Used SQL queries, joins, filtering, grouping, and aggregate functions to analyze banking transactions.",
        "Generated insights on transaction trends, customer activity, and branch-level performance."
      ]
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