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A passionate, hardworking, and detail-oriented Data Analyst / Data Scientist and Business Intelligence Developer with 3+ years of experience and knowledge in designing and developing BI solutions utilizing #Power BI, #SQL server, #SSIS, #SSRS, #ETL, and Advanced Excel. Proficient in Agile methodology and SDLC process in Database Design and Development, ETL implementation, dynamic report, and dashboard design with interest in research and easily adaptable to new technologies and environment
- Python
- Jupyter Notebook
- Python - Beautiful Soup
- Python - Pandas
- Python - Plotly
- Python - Regular Expressions
- SQL Server
- SSIS
- SSRS
- SSAS
- Power BI
- Microsoft Office
- Visual Studio Data Tools
- Software Design Pattern
- Etl
- Sql
- Html
- Visual Studio Code
- Access
- Outlook
- Snowflake
- Dax
- Dashboards
- Microsoft Excel
- Case Study
- Data Analytics
- Data Mining
- Deployment
- Product Overview
- Reporting
- ETL
- Instructions
- Data Warehousing
- Computer Software
- Food
- Mortgage Banking
Hours Available / Wk - 40hrs
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With a robust foundation in Power BI and a comprehensive grasp of data analytics, I specialize in developing intricate business intelligence solutions that drive decision-making and operational efficiency. My expertise extends to SQL Server, SSIS, SSRS, and DAX language, enabling me to design dynamic, impactful BI reports and dashboards that highlight key performance indicators and business insights.Dedicated to continuous improvement and innovation, I thrive in environments that challenge my skills in ETL processes and data visualization, leveraging agile methodologies and SDLC best practices to deliver exceptional outcomes. My proactive approach in collaborative settings, coupled with a keen ability to adapt to new technologies, ensures that I provide valuable contributions to any data-driven project. Engage me to enhance your organization’s data strategies and uncover actionable insights that foster growth and success.
- Python
- Jupyter Notebook
- Python - Pandas
- Python - Plotly
- SQL Server
- Microsoft Azure
- AWS
- SSIS
- SSRS
- SSAS
- Power BI
- Microsoft Office
- Visual Studio Data Tools
- Software Design Pattern
- Etl
- Sql
- Html
- Visual Studio Code
- Access
- Outlook
- Snowflake
- Dax
- Microsoft Excel
- Microsoft Power Point
- Power Query
- Case Study
- Data Analytics
- Data Mining
- Deployment
- Product Overview
- Reporting
- ETL
- Instructions
- Data Warehousing
- Healthcare
- Mortgage Banking
- Financial Services
- Retail
- Telecommunications
Hours Available / Wk - 40hrs