I am an entry-level Data Analyst with hands-on experience in data analysis, business intelligence, and applied machine learning, supported by strong experience in systems development. I specialize in transforming raw data into actionable insights through data cleaning, exploratory data analysis, and visualization using tools such as SQL, Python, R, Excel, and Power BI.I have developed interactive dashboards and reporting solutions that track key performance indicators and support data-driven decision-making. My project experience includes building predictive models using Random Forest, Gradient Boosting, and CatBoost, applied to real-world use cases such as student performance prediction, employee attrition analysis, and agricultural quality grading.During my internship, I worked with real business data to perform analysis, generate reports, and support operational decisions. I also developed internal systems including attendance tracking, payroll management, procurement, and financial monitoring systems, improving workflow efficiency and data organization across departments.With the ability to work across data pipelines, databases, and system development, I bring both analytical and technical capabilities to solve business problems. I am seeking a remote role where I can contribute to data-driven decision-making while continuing to grow in data analytics and machine learning.
Experience: 1 - 2 years
Can perform basic financial analysis such as reviewing financial statements, identifying trends, and supporting simple data interpretation using spreadsheet tools.
Experience: 6 months - 1 year
Experience in building and evaluating machine learning models including Random Forest, Gradient Boosting, and CatBoost. Able to perform classification, regression, clustering, and basic model evaluation for decision support applications.
Experience: 6 months - 1 year
Experience in designing and developing responsive and user-friendly web applications using modern front-end and back-end technologies. Able to build full-stack web systems, implement RESTful APIs, manage databases, and ensure system functionality, performance, and usability. Skilled in creating dynamic interfaces, integrating application logic, and supporting deployment for decision support and data-driven web solutions.
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