Data analyst leveraging diverse data tools to drive business growth through business intelligence. Experienced in extracting actionable insights from complex datasets, facilitating informed decision-making and delivering measurable results. Committed to utilizing data-driven strategies to optimize operations and enhance overall organizational performance.
Utilized data analytics techniques to analyze large datasets and extract actionable insights.
Assisted in the development and implementation of data models and algorithms to optimize data analysis processes.
Conducted data cleaning, data wrangling, and preprocessing tasks to ensure data accuracy and quality for analysis.
Applied statistical analysis and hypothesis testing to identify trends, patterns, and correlations in data.
Created data visualizations, including charts, graphs, and dashboards, to effectively communicate findings and support decision-making.
Collaborated with cross-functional teams to understand business requirements and translate them into data analysis solutions.
Contributed to the development of predictive models to forecast future outcomes and make data-driven recommendations.
Conducted exploratory data analysis to uncover hidden insights and generate actionable recommendations for process improvements.
Utilized programming languages such as Python and employed SQL to extract and manipulate data from databases.
Worked with various data analysis tools and software, such as Excel, Tableau
Utilized Agile Development processes to facilitate requirements gathering, ensuring efficient and iterative development.
Translated business requirements into clear functional specifications, following Agile principles of adaptability and collaboration.
Conducted data analysis using MySQL within the Agile framework to inform decision-making and drive iterative improvements.
Proactively identified process enhancement opportunities within the Agile methodology, recommending solutions for increased efficiency.