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A S M Fakhruddin

A S M Fakhruddin

Data Analyst

Accounting / Finance

Brooklyn, Kings

Social

Services offered

•
A
Data Analyst with 5+ years of experience
& passion for
transforming data into actionable insights
leveraging a diverse skillset in data analysis (
Python
,
R
,
SQL
), data visualization (
Tableau
,
Power BI
), cloud computing (
AWS, Azure
), and big data (
Hadoop
,
Spark
) to solve complex business problems.
•
Across various industries, I've consistently delivered impactful results:
•
Increased data accuracy by 10%
in the healthcare sector through data cleaning and analysis techniques.
•
Reduced report generation time by 20%
using automation for a smoother data pipeline.
•
Enhanced client satisfaction by 8%
by improving report clarity and timeliness with data visualization.
•
Developed interactive dashboards that
improved customer success team efficiency by 15%.
•
Identified operational efficiencies leading to a
20% improvement through data-driven analysis.
•
My educational background in
Business Analytics (MS)
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.

Data visualization
Big data
Data analysis
Data analyst
Business analytics
Approximate rate: USD$ 35 per hour

Experience

Data
Analyst
CVS
Health
May 2023 – present
|
Remote, USA
•
Accomplish data importation from diverse sources, utilized Hive, Pig, and MapReduce for data transformation, and maintained data integrity within HDFS.
•
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.
•
Utilize Azure DevOps for continuous integration and deployment, leading to a 30% reduction in software release cycles.
•
Industrialize efficient data pipelines that parsed and stored raw data into partitioned Hive tables, improving data retrieval for reporting and analysis by 20%.
•
Implement Azure Data Lake Storage, leading to a 30% improvement in data storage and retrieval efficiency for large-scale datasets.
•
Working on CI/CD solutions using Git and Jenkins to set up and configure the big data architecture on the Azure cloud platform.
•
Automated data pipelines using Apache Airflow, reducing manual intervention by 40% and ensuring seamless data flow between systems.
•
Collaborate with cross-functional teams to implement automated dashboards and reporting using Tableau, empowering stakeholders with data-driven insights.
•
Improve data pipeline efficiency, achieving a 35% reduction in manual intervention through the use of Azure Data Factory.

Education

My educational background in
Business Analytics (MS)
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.

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