Detail-oriented Data Analyst with 3 Years & 5 months of experience and a passion for leveraging data-driven insights to contribute
to organizational success. Certified in Data Science and Business Analytics from T…
Detail-oriented Data Analyst with 3 Years & 5 months of experience and a passion for leveraging data-driven insights to contribute
to organizational success. Certified in Data Science and Business Analytics from TEXAS McCombs. Proficient in machine
learning (ML) algorithms, data preprocessing, visualization, and statistical modeling. Seeking a challenging opportunity to apply
technical expertise and analytical skills for actionable business solutions.
Developed interactive dashboards and reports using Tableau, presenting key findings and recommendations to senior
management and cross-functional teams.
• Gathered, cleaned, and analyzed large datasets from diverse sources to identify trends, patterns, and insights relevant to
business objectives.
• Assisted in data collection and preprocessing tasks, including data cleaning, normalization, and transformation.
• Created visualizations and dashboards using Python libraries (e.g., Matplotlib, Seaborn)& Tableau to communicate findings
to stakeholders
Developed interactive dashboards and reports using Tableau, presenting key findings and recommendations to senior management and cross-functional teams.
Gathered, cleaned, and analyzed large datasets from diverse sources to identify trends, patterns, and insights relevant to business objectives.
Assisted in data collection and preprocessing tasks, including data cleaning, normalization, and transformation.
Created visualizations and dashboards using Python libraries (e.g., Matplotlib, Seaborn) and Tableau to communicate findings to stakeholders.
Developed dynamic dashboards to visualize key performance indicators, facilitating data-driven decision-making processes.
Carefully examined data, identifying trends and insights that contributed to data-driven decision-making within the organization.
Presented findings and recommendations to the team, encouraging a culture of informed decision-making.
Used SQL and Python to work with data, making it clean and easy to understand.
Explored data to find important trends and patterns.
Utilized advanced Excel functions, including pivot tables and charts, to transform raw data into insightful reports.
Provided training and support to colleagues on Excel best practices, empowering them to leverage data effectively.
Helped make better SQL queries to get data from the database.
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