Daniel N. Profile

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$20 USD / hora

prague,

czech republic

$20 USD / hora

Atualmente, está 1:32 AM aqui

Ingressou em agosto 26, 2019

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Daniel N.

@DanNEZ

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$20 USD / hora

prague,

czech republic

$20 USD / hora

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Data Analyst | Python | SQL | Power BI | AWS |

I am a results-driven professional in data analysis, dedicated to transforming information into insightful solutions. I have worked on various data projects, refining my skills, and acquiring valuable experience in data analysis, visualization, and reporting to solve actual problems. In addition to data analysis, I have actively worked on projects that focus on the automation of manual tasks, utilizing tools such as Python, Excel VBA, or Power Automate. For more information please check out my porfolio website [login to view URL]

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Portfólio

I specialize in crafting user-friendly business dashboards that go beyond the basics, focusing on taking them to the next level. Each visual in my dashboards is customized, not just to display data but to reveal insights and facilitate a deeper understanding. The dashboard design is unique and created to meet user needs.
I also enhance the user experience by incorporating various elements, such as buttons for clearing filters or hidden filters to save space.
In this example , a dynamic Weekly Report is shown. The visuals in the report are taken to the next level to display trends, and not just the actual numbers from the week. The insights are conditionally formatted to provide users with a clear indication of the trend at first glance.
In the example below, a dynamic Weekly Report is shown. The visuals in the report are taken to the next level to display trends, and not just the actual nu

For more information please check out my porfolio website https://www.danielnezadal.com/

Dynamic Power BI report with customized KPIs created

In Python, I have experience leveraging libraries such as Pandas, Matplotlib, and Plotly to gain insights from raw datasets. Usually, I use Pandas to quickly create histogram plots to understand the distribution of data across different variables or scatter plots to reveal relationships and correlations between variables.
Additionally, I've utilized Python to generate more engaging plots. For example, the one shown here is an interactive plot created using Plotly, which provides Sales Analysis – profits vs units sold for specific countries from 2020 to 2023. Each bubble represents one country, and its size is determined by the count of sales. The color of the bubble indicates which region the country belongs to.

Python Data Visualization

In addition to Power BI, I have hands-on experience crafting dashboards with AWS Quicksight. Just like in Power BI, I consistently aim to deliver dynamic, visually appealing, and user-friendly experiences. Below is an example of one of my AWS Quicksight dashboards.

Dashboards in AWS Quicksight

Progress chart

In my reports, I focus on elevating visuals to the next level to offer a complete context, provide additional insights, and optimize space within the report. Take this example, where a KPI with weekly results is featured.
To show users with the complete context, I incorporated in the KPI YTD and WoW calculations, as well as line chart, showing the weekly results and Week-over-Week (WoW) calculations. A target bar is also integrated, highlighting weeks that do not fulfill the target by displaying values in red. The entire KPI is conditionally formatted to shift to a red color when the weekly result is below the target.

For more details please check out my porfolio website https://www.danielnezadal.com/

Next level KPI

To guarantee the accurate functioning of KPIs, I craft complex DAX measures.
In this example, there is a report comparing performance of all associates. There are specific DAX measures that remove filter context from the visuals to compute the average team performance, providing a basis for comparison with the performance of individual associates.
Furthermore, these measures have the added functionality of excluding associates with zero values from the calculation within the selected time frame.

For more details please check out my porfolio website https://www.danielnezadal.com/

Performance Scorecard

Dynamic Power BI report with customized KPIs created

Python Data Visualization

Dashboards in AWS Quicksight

Progress chart

Next level KPI

Performance Scorecard

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Experiência

Amazon

dez. 2019 - mai. 2023 (3 anos, 5 meses)

• Played a pivotal role in the transformation and optimization of the security database, improved the efficiency of data collection. Utilized Python to support the team in data cleaning tasks. • Created SQL queries to collect data for reports and automate manual tasks. • Developed interactive data visualizations and reports using Power BI and AWS Quicksight • Implemented automation solutions leveraging Python and VBA to streamline repetitive tasks.