Mujtaba Syed

Managed and modeled data across diverse databases, resulting in a percentage improvement in data consistency.
 Optimized database queries and structures, leading to a percentage increase in data retrieval speed.
 Quantified the impact of data modeling on database performance, presenting results in terms of percentage
improvements.
 Leveraged NumPy and Pandas for efficient data manipulation, resulting in a percentage increase in data processing
speed.
 Utilized Sci-Kit, Matplotlib, and Seaborn for advanced analytics and visualization, leading to a percentage improvement
in data insights.
 Conducted exploratory data analysis using Python, SQL, and R, resulting in a percentage enhancement of data-driven
decision-making.
 Developed impactful presentations in PowerPoint to communicate findings, leading to a percentage increase in
stakeholder engagement.
 Utilized SharePoint for streamlined project management, leading to a percentage improvement in project delivery.
 Quantified the impact of Microsoft Office Suite tools on overall data analysis and presentation, presenting results in
terms of percentage improvements.
 Created interactive dashboards and reports using Tableau & Power BI resulting in a percentage improvement in data
visualization.
 Presented insights through compelling visualizations, leading to a percentage increase in stakeholder understanding.
 Enhanced team communication through Microsoft Teams leading to a percentage increase in collaborative success.
 Managed and optimized Azure Storage Containers, leading to a percentage increase in data storage efficiency.
 Designed and implemented data pipelines in Azure Data Factory, resulting in a percentage improvement in data
integration efficiency.
 Utilized Azure services for enhanced data storage, resulting in a percentage improvement in accessibility.

<p>Utilize Python, SQL & R for data extraction, cleaning, and analysis in the context of healthcare datasets.<br>
Develop and implement Data Analysis Expressions (DAX) for evaluating and analyzing data in Power BI.<br>
Use NumPy and Pandas for data manipulation and analysis tasks.<br>
Apply Sci-Kit, Matplotlib, and Seaborn for advanced analytics and visualization.<br>
Work with a variety of databases including MS SQL Server, PostgreSQL and MySQL in the healthcare domain.<br>
Utilize advanced features of Microsoft Excel, including V-Lookup, Pivot Tables, VBA, and Macros for data analysis and reporting.<br>
Create impactful presentations and collaborate on documents using Microsoft PowerPoint and SharePoint.<br>
Utilize Microsoft Office Suite and Outlook for day-to-day communication and collaboration within the healthcare company.<br>
Guided Agile teams on how to self-manage & plan working to enabling features & stories a long product increments & Sprints.<br>
Performed statistical analysis such as hypothesis testing, regression analysis, confidence interval & P-value calculation using R.<br>
Consistent in publishing multiple interactive dashboards, and workbooks from Tableau Desktop to Tableau Servers.<br>
Created Power BI Reports using the Tabular SSAS models as source data in Power BI desktop and publish reports to service.<br>
Manipulated date and calculated key metric for reporting using MS SQL Server queries (window function, subqueries) and MS Access.<br>
Specialized in transforming data into user-friendly visualization to give business users a complete view of their business using Power BI.<br>
Utilize Azure services for data storage, machine learning, and data integration.<br>
Visualized data from MS SQL and MS Access using Tableau Dashboard to monitor email performance, connected to MS SQL database using R package.<br>
Performed exploratory data analysis (EDA) to find insight such as difference efficiency among different devices using ggplot2 in R.<br>
Involved in testing the SQL Scripts for report development, Tableau reports, Dashboards, Scorecards and handled the performance issues electively.</p>

<p>Managed and modeled data across diverse databases, resulting in a percentage improvement in data consistency.<br>
Optimized database queries and structures, leading to a percentage increase in data retrieval speed.<br>
Quantified the impact of data modeling on database performance, presenting results in terms of percentage improvements.<br>
Leveraged NumPy and Pandas for efficient data manipulation, resulting in a percentage increase in data processing speed.<br>
Utilized Sci-Kit, Matplotlib, and Seaborn for advanced analytics and visualization, leading to a percentage improvement in data insights.<br>
Conducted exploratory data analysis using Python, SQL, and R, resulting in a percentage enhancement of data-driven decision-making.<br>
Developed impactful presentations in PowerPoint to communicate findings, leading to a percentage increase in stakeholder engagement.<br>
Utilized SharePoint for streamlined project management, leading to a percentage improvement in project delivery.<br>
Quantified the impact of Microsoft Office Suite tools on overall data analysis and presentation, presenting results in terms of percentage improvements.<br>
Created interactive dashboards and reports using Tableau & Power BI resulting in a percentage improvement in data visualization.<br>
Presented insights through compelling visualizations, leading to a percentage increase in stakeholder understanding.<br>
Enhanced team communication through Microsoft Teams leading to a percentage increase in collaborative success.<br>
Managed and optimized Azure Storage Containers, leading to a percentage increase in data storage efficiency.<br>
Designed and implemented data pipelines in Azure Data Factory, resulting in a percentage improvement in data integration efficiency.<br>
Utilized Azure services for enhanced data storage, resulting in a percentage improvement in accessibility.</p>