Lavika Rana

About

With a strong foundation in data analytics, hands-on experience with Excel, SQL, Python, Power BI, and Tableau, and over three years of professional experience in a role that demanded accuracy, organization, and analytical thinking, I am eager to contribute to your team. Recently, I completed a Data Analytics with Generative AI program, where I developed practical experience working with real-world datasets through end-to-end analytical projects. My work involved data cleaning, validation, transformation, exploratory data analysis, SQL querying, KPI reporting, and interactive dashboard development. These projects strengthened my ability to identify inconsistencies, ensure data accuracy, and transform raw data into meaningful business insights. One of my key projects focused on Financial Performance Analysis, where I used Excel, SQL, Python, and Power BI to analyze financial data, validate datasets, investigate budget variances, and create executive dashboards that supported informed decision-making. In another project, I analyzed retail sales data by extracting, cleaning, and transforming large datasets to uncover trends and deliver actionable business insights. These experiences have prepared me to work with large volumes of data while maintaining a strong focus on quality and accuracy. Before transitioning into data analytics, I worked as an English Instructor, where I managed student performance records, analyzed assessment data, maintained detailed documentation, and collaborated with colleagues to improve learning outcomes. This experience strengthened my communication skills, attention to detail, and ability to solve problems systematically—qualities that are equally valuable in data-focused roles. What attracts me most to work as a data analyst is the opportunity to contribute to improving data quality and supporting business decisions through reliable and well-managed data. I enjoy investigating data issues, optimizing processes, and working collaboratively with cross-functional teams to deliver accurate and meaningful results. I am confident that my technical skills, eagerness to learn, and commitment to excellence would enable me to make a positive contribution to your organization. Thank you for considering my application. I would welcome the opportunity to discuss how my background, technical skills, and enthusiasm for data analytics align with the goals of your team.

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