Data Analyst
Request a quote with no obligation
•
A
Data Analyst with 5+ years of experience
& passion for transforming data into actionable insights leveraging a diverse skillset in data analysis (
,
R
,
), data visualization (
,
), cloud computing (
AWS, Azure
), and big data (
,
) to solve complex business problems.
•
Across various industries, I've consistently delivered impactful results:
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Increased data accuracy by 10%
in the healthcare sector through data cleaning and analysis techniques.
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Reduced report generation time by 20%
using automation for a smoother data pipeline.
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Enhanced client satisfaction by 8%
by improving report clarity and timeliness with data visualization.
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Developed interactive dashboards that improved customer success team efficiency by 15%.
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Identified operational efficiencies leading to a
20% improvement through data-driven analysis.
•
combined with an
MBA in Finance provides a strong foundation for understanding both technical and business aspects of data analysis
. Eager to leverage my skills and passion for data to make a significant contribution to your team.
May 2023 – present
|
Remote, USA
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Accomplish data importation from diverse sources, utilized Hive, Pig, and MapReduce for data transformation, and maintained data integrity within HDFS.
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Using Spark to accelerate data processing, achieving a 25% increase in processing speed for daily batches of up to 50GB, enhancing the team's data analysis capability.
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Utilize Azure DevOps for continuous integration and deployment, leading to a 30% reduction in software release cycles.
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Industrialize efficient data pipelines that parsed and stored raw data into partitioned Hive tables, improving data retrieval for reporting and analysis by 20%.
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Implement Azure Data Lake Storage, leading to a 30% improvement in data storage and retrieval efficiency for large-scale datasets.
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Working on CI/CD solutions using Git and Jenkins to set up and configure the big data architecture on the Azure cloud platform.
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Automated data pipelines using Apache Airflow, reducing manual intervention by 40% and ensuring seamless data flow between systems.
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Collaborate with cross-functional teams to implement automated dashboards and reporting using Tableau, empowering stakeholders with data-driven insights.
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Improve data pipeline efficiency, achieving a 35% reduction in manual intervention through the use of Azure Data Factory.
combined with an
MBA in Finance provides a strong foundation for understanding both technical and business aspects of data analysis
. Eager to leverage my skills and passion for data to make a significant contribution to your team.
