My Projects
Power-BI Dashboard
1. Requirements Gathering:
- Identify key stakeholders.
- Collaborate with stakeholders to define specific metrics and KPIs relevant to the business goals.
- Determine the preferred Monthly time intervals for data analysis.
2. Data Collection and Integration:
- Collect Data
- Ensure data accuracy and consistency.
3. Dashboard Design:
- Choose a dashboarding tool (Power BI).
- Design a user-friendly interface with a clear layout for each card.
- Incorporate visual elements such as charts, graphs, and maps.
4. Revenue Card:
- Implement widgets for Total Revenue, MoM, and Monthly Target.
- Ensure real-time updates for accurate information.
5. Order Card:
- Develop widgets for Total Orders, MoM, and Monthly Target.
- Include features for easy comparison and trend analysis.
6. Sale by Category Card:
- Create visualizations for Total Revenue, Total Orders, Total Profit, and Total Quantity Sold for each product category.
- Implement interactive elements for drill-down analysis.
7. Sale by Priority and Aging Card:
- Design widgets to display Total Order by Sale and Total Order by Aging.
- Provide filters for priority levels and aging categories.
8. Map Card: Sale by Country:
- Integrate geographical data and create a map visualization.
- Display sales distribution by country and provide insights into global performance.
9. Five Performance Cards:
- Display sales performance by Customers, Product, Region, State and Cities.
- It provides details performance of each card.
9. Testing:
- Conduct thorough testing to ensure data accuracy and dashboard functionality.
- Gather feedback from stakeholders and make necessary adjustments.
Why this Dashboard Matters for our Client:
- Informed Decision-Making: Empowering our client’s team with real-time data for strategic decision-making.
- Performance Tracking: Enabling our client to monitor key performance indicators to drive growth and achieve targets.
- Global Insight: Understanding sales trends across different regions for effective market expansion.
Diversity & Inclusion Dashboard
Power-BI Dashboard
The Diversity and Inclusion Dashboard in Power BI incorporates a wide range of key performance indicators (KPIs) to effectively assess and monitor an organization’s diversity and inclusion efforts. The following KPIs are included:
Hiring Rate: The Hiring Rate KPI measures the percentage of diverse candidates hired over a specific period. It helps organizations track the success of their recruitment strategies in attracting and selecting candidates from diverse backgrounds.
Promotion Rate: The Promotion Rate KPI evaluates the percentage of diverse employees who have been promoted within the organization. This metric helps assess whether opportunities for advancement are equally accessible to all employees, regardless of their demographic characteristics.
Turnover Rate: The Turnover Rate KPI measures the percentage of diverse employees who have left the organization during a given period. Understanding turnover patterns among diverse groups can help identify potential issues in employee retention and engagement.
Performance Rating Distribution: This KPI provides insights into the distribution of performance ratings among diverse employees. Analyzing this data helps ensure that performance evaluations are fair and unbiased, contributing to a more inclusive performance management process.
Executive Gender Balance: The Executive Gender Balance KPI tracks the representation of different genders within the organization’s executive or leadership team. Achieving gender balance at the top levels is essential for demonstrating commitment to diversity and ensuring diverse perspectives in decision-making.
Age Group Representation: The Age Group Representation KPI examines the age diversity within the workforce. It helps organizations assess whether age-related biases are affecting recruitment, retention, or career development opportunities for employees of different age groups.
Power-BI Dashboard
This portfolio project on medical billing data analysis showcased my expertise as a data analyst in the healthcare domain. By identifying correlations between payments and charges, and exploring the impact of key metrics on the organization’s financial health, I provided valuable insights to support decision-making processes and improve financial stability. The findings from this project can be used to forecast revenue, optimize collection strategies, negotiate client contracts, and address outstanding balances effectively.
Power-BI Dashboard
My latest project , a fully functional Call Center Dashboard in Power BI!
As a testament to the power of data-driven decision-making, this dashboard empowers call center managers and supervisors to gain valuable insights into their operations, optimize agent performance, and enhance customer satisfaction.
With visually appealing charts and interactive features, the Call Center Dashboard provides real-time and historical analytics on key performance indicators such as:
1 : Track the number of incoming calls, identify peak hours, and adjust staffing levels accordingly.
2 : Measure the time taken to answer calls, ensuring efficient call handling and reducing customer wait times.
3 : Understand how long calls typically last, identify outliers, and identify opportunities for improvement.
4 : Monitor the percentage of calls successfully resolved, ensuring customer issues are addressed effectively.
5 : Evaluate individual agent performance metrics, identify top performers, and provide targeted coaching and training.
6 : Capture and analyze customer satisfaction ratings, enabling proactive steps to improve service quality.
Power-BI Dashboard
A top-level KPI dashboard for Northwind Traders that provides an overview of the company’s performance in key areas.
1 : Discount has a positive impact on revenue and sales.
2 : Quarter-1 of 2015 stood out as the highest revenue-generating quarter.
3 : The product category that experienced the highest sales is Beverages.
4 : The highest-selling product is Raclette Courdavault.
5 : Savea is the customer that placed the most orders.
6 : The delivery status of total orders indicates that 793 orders were delivered on time, while 37 orders were delivered late.
7 : Federal Shipping is identified as the fastest shipper company based on the average delivery time.
These are just some of the key performance indicators (KPIs) that can provide valuable insights into Northwind Traders’ performance across various areas. The actual selection and customization of KPIs may vary based on the company’s specific goals, industry, and strategy.
Power-BI Dashboard
A dynamic sales dashboard built using Power BI! I am thrilled to showcase my skills in data visualization and analysis through this project. With a clean and intuitive design, this dashboard allows you to easily track and monitor your sales data. Gain valuable insights into your business’s performance, spot trends, and identify areas for improvement. The interactive visuals and real-time updates provide a seamless experience, enabling you to make data-driven decisions with confidence. This project demonstrates my proficiency in Power BI and showcases my ability to transform complex data into actionable insights.
Power-BI Dashboard
I have successfully completed the Maven Pizza Challenge, a Power BI dashboard project. This project showcases my skills in data visualization and analysis, as well as my ability to leverage Power BI to create insightful and user-friendly dashboards.
The Maven Pizza Challenge involved analyzing various data sets.Through careful data modeling and visualization techniques, I was able to extract valuable insights, such as identifying the most popular pizza toppings, finding order trend by day/time, and tracking sales performance over time.
Power-BI Dashboard
I have successfully developed an analytical dashboard using Power BI to monitor and understand attrition within our organization.
My Power BI analytic dashboard provides a comprehensive view of attrition within our organization and uncovers the underlying reasons behind it.
Through intuitive visualizations and interactive reports, I gain valuable insights into the factors contributing to employee attrition.
Power-BI Dashboard
I imported the survey responses into Power BI and removed any irrelevant or incomplete responses from the data. I combined and summarized the data as needed.
Then I started to Create visually appealing charts and graphs that represent the survey data in an easy-to-understand manner. Arranged the visualisations on a single page to create a dashboard. Added titles, labels, and interactive elements to make it user-friendly.
Microsoft Excel Dashboard
In this project, I designed and developed an interactive sales dashboard using Adidas data, aimed at providing comprehensive insights into sales performance. The dashboard offers multiple dimensions of analysis, including sales on a yearly and monthly basis, sales by region, sales by retailer, and the ability to filter data by product, year, and state.
Microsoft Excel Dashboard
Nizam Store Sales Boost Strategy: Empowering Women Shoppers in Maharashtra, Karnataka, and Uttar Pradesh!
After an extensive store sale analysis, I’m thrilled to present a game-changing strategy to enhance Nizam Store’s sales and drive growth!
For the final conclusion please click on project button.
Report: 2005 – 2020 | Python Dash Libraryย
As an experienced data professional, I have successfully designed and developed a comprehensive dashboard using the Dash library called “US Domestic Airline Flights Performance.”ย
Through the implementation of interactive charts, graphs, and maps, the dashboard presents complex flight performance data in an intuitive and user-friendly manner. Users can easily filter data based on Yearly Airline Performance and Yearly Airline Delay reports.
Python
1. Conducted data cleaning and manipulation to ensure data quality and consistency.
2. Utilized pandas, matplotlib, and seaborn libraries for exploratory data analysis (EDA).
3. Identified potential customers across various states, occupations, genders, and age groups to enhance customer experience.
4. Determined the most selling product categories and products to optimize inventory planning and meet customer demands, thereby improving sales.
