Highly skilled and meticulous Data Analyst with a robust background in Data Science, specialized in Big Data Analytics, Python, SQL, and advanced Mathematics.
Gathered and cleaned data and ensured accuracy and integrity. Conducted preliminary analyses and created reports using tools like Excel and Tableau. Organized and cleaned data from multiple sources, managing datasets up to 1500 records.
Worked with a data set of 1500 data and did visualization for the same. Supported in developing statistical models, contributing to projects that improve data accuracy by 15%. Participated in research initiatives, improving data processing techniques and enhanced efficiency by approximately 20%. Assisted in developing and testing statistical models and machine learning algorithms. Oversaw the accounts of 5 clients, guaranteeing prompt and precise financial transactions, which resulted in a 20% boost in client satisfaction and retention. Employed Python and Tableau to analyse extensive datasets, deriving significant insights.
Gathered and cleaned data and ensured accuracy and integrity.
Conducted preliminary analyses and created reports using Excel and Tableau.
Organized and cleaned data from multiple sources, managing datasets up to 1500 records.
Worked with a data set of 1500 data and did visualization for the same.
Supported in developing statistical models, contributing to projects that improve data accuracy by 15%.
Participated in research initiatives, improving data processing techniques and enhanced efficiency by approximately 20%.
Assisted in developing and testing statistical models and machine learning algorithms.
Oversaw the accounts of 5 clients, guaranteeing prompt and precise financial transactions, which resulted in a 20% boost in client satisfaction and retention.
Employed Python and Tableau to analyse extensive datasets, deriving significant insights.
Actively participated in creating the project report for the Air NZ Web API, utilizing Asciidoc and advanced system design, which enhanced documentation quality and efficiency by 15%.
Developed a Spring Boot Java-based feedback form, streamlining the collection of employee feedback from various weekly seminars and reducing manual data entry efforts by 30%.
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