Aspiring Data Analyst

I am an aspiring data analyst and data science enthusiast with hands-on experience in extracting, processing, and visualizing data to generate actionable insights. I am skilled in applying analytical and problem-solving abilities in collaborative, team-oriented environments. I am adaptable and results-driven, with a strong interest in data-driven decision-making and continuous learning. Throughout my education and internship, I have developed proficiency in programming languages such as Python and C, and tools including Spark, Tableau, R, SPSS, and Microsoft Office. I have experience working with databases like MSSQL and MongoDB, which has enhanced my ability to manage and analyze large datasets effectively. During my internship at Siberlog, I contributed to developing an AI model focused on delivering personalized campaigns by analyzing customer data, which involved data preprocessing, model training, and testing using Python and object-oriented programming principles. I continuously seek to expand my knowledge through certifications in data analysis, machine learning, and data visualization from reputable institutions such as IBM, Stanford Online, and Macquarie University. I am eager to apply my skills and knowledge in a professional setting to contribute to data-driven business solutions and grow as a data analyst.