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    "name": "Meklit Sisay Ayenew",
    "label": "Reporting intern",
    "summary": "Data Science professional with experience in data management, cleaning and validation, analysis, and visualization. Skilled in Python, machine learning, deep learning, Power BI, Excel, and DHIS2, with strong analytical thinking and problem-solving abilities developed through roles at Solidarités International (SI), JSI, Komari Beverage, and Amhara Public Health Institute. Experienced in working with diverse datasets and applying data-driven approaches to support decision-making. Passionate about using data science, analytics, and machine learning to solve real-world problems across healthcare, humanitarian and development, finance, technology, and other data-intensive sectors.",
    "location": "Addis Ababa"
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    {
      "company": "Solidarités International (SI)",
      "position": "Reporting & Grants Intern",
      "location": "Addis Ababa, Ethiopia",
      "startDate": "2026-07",
      "current": true,
      "highlights": [
        "Worked with large and complex datasets, performing data cleaning, validation, preprocessing, and quality checks to improve data accuracy and reliability.",
        "Applied Python, SQL, data analysis, and visualization skills to transform raw data into useful information for decision-making and reporting.",
        "Gained practical experience working with health and development data, including DHIS2 and routine program data.",
        "Supported reporting, monitoring and evaluation, grants management, documentation, and data management activities in an international development organization.",
        "Developed practical machine learning and deep learning projects, strengthening my ability to apply data science techniques to real-world problems."
      ]
    },
    {
      "company": "JSI",
      "position": "Data Science Intern",
      "location": "Addis Ababa, Ethiopia",
      "startDate": "2025-11",
      "endDate": "2026-06",
      "highlights": [
        "Supported health and development programs through data cleaning, preprocessing, and analysis",
        "Worked with routine health data to improve data quality and usability for decision-making",
        "Assisted with data validation, visualization, and reporting for monitoring and evaluation activities",
        "Applied data science and analytical skills to real-world program data"
      ]
    },
    {
      "company": "Komari Beverage",
      "position": "Data Validator",
      "location": "Addis Ababa, Ethiopia",
      "startDate": "2025-06",
      "endDate": "2025-09",
      "highlights": [
        "Validated large datasets to ensure accuracy, completeness, and consistency",
        "Conducted data quality checks to identify and reduce data entry errors",
        "Cleaned and organized data to improve its reliability and usability",
        "Supported management decision-making through accurate and high-quality data"
      ]
    },
    {
      "company": "Amhara Public Health Institute (APHI)",
      "position": "Data Management Intern",
      "location": "Bahir Dar, Ethiopia",
      "startDate": "2024-07",
      "endDate": "2024-09",
      "highlights": [
        "Cleaned and preprocessed health datasets by handling missing values and outliers",
        "Supported data management and quality improvement activities",
        "Gained practical experience working with public health data and data management systems",
        "Assisted in organizing and preparing datasets for analysis and reporting"
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      "fluency": "Native"
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      "name": "Introduction to DHIS2"
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    {
      "name": "Data Analysis Fundamentals",
      "issuer": "Udacity"
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      "name": "I Know Gender 1–2–3 (UN System)",
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    {
      "name": "Introduction to Python",
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    "yearsOfExperience": 0,
    "seniority": "entry"
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