Hi, I’m Muaz Khan
a
Microsoft Power Platform Developer
Senior Power BI Lead
Data Analyst
With over 9 years of experience in Power BI, Power Platform Development, and ERP Deployment Management, I specialize in creating intuitive app designs and optimized solutions for streamlined processes. I’ve developed Power Automate flows to seamlessly transfer data from Microsoft Forms to SharePoint, enhancing data collection. My work includes designing custom Power BI dashboards and reports, integrating them into web apps, and managing ETL processes to ensure smooth data flow. I've also extracted data from Microsoft Dynamics 365 F&O into the Data Warehouse and developed SQL views for data modeling in Power BI. My role involves quality assurance for Power Platform applications, collaborating with stakeholders to design solutions, and providing technical support for ERP deployments.
What I Do
Data Analyst
I possess strong skills in data analysis, including the ability to collect, analyze, and interpret large datasets to extract actionable insights. My expertise extends to statistical techniques and programming languages such as SQL and Python, enabling me to conduct thorough analyses and derive meaningful conclusions. Additionally, I am proficient in utilizing data visualization tools to present findings in a clear and concise manner, facilitating effective communication of insights to stakeholders.
Business Intelligence
With experience as a Business Intelligence Specialist, I have honed my ability to transform raw data into valuable insights that drive strategic decision-making within organizations. My proficiency lies in data modeling, reporting, and dashboard creation, allowing me to provide comprehensive business insights to stakeholders at all levels. I am adept at leveraging various tools and technologies to ensure the delivery of actionable insights that contribute to organizational success.
Power BI Specialist
As a Power BI Specialist, I excel in utilizing Microsoft Power BI for data visualization and analysis purposes. My skills include designing interactive dashboards, creating robust data models, and performing advanced analytics to empower users with intuitive reports and visualizations. By leveraging Power BI, I facilitate informed decision-making processes across the organization, enabling stakeholders to gain valuable insights into business performance and trends.
My Portfolio
The Situation:
Adventure Works is a fictional global manufacturing company that produces cycling equipment and accessories, with activities stretching across three continents (North America, Europe, and Oceania). Our goal is to transform their raw data into meaningful insights and recommendations for management. More specifically, we need to:
- Track KPIs (sales, revenue, profit, returns)
- Compare regional performance
- Analyse product-level trends
- Identify high-value customers
The Data:
We’ve been given a collection of raw data (CSV files), which contain information about transactions, returns, products, customers, and sales territories in a total of eight tables, spanning from the years 2020 to 2022.
The Task: We are tasked with using solely Microsoft Power BI to:
- Connect and transform/shape the data in Power BI’s back-end using Power Query
- Build a relational data model, linking the 8 fact and dimension tables
- Create calculated columns and measures with DAX
- Design a multi-page interactive dashboard to visualize the data in Power BI’s front-end
The Process:
1. Connecting and Shaping the Data
Firstly, we imported the data into the Power Query editor to transform and clean it. The next process involved:
Removing Duplicates: Duplicate entries were removed from the dataset to ensure accurate analysis.
Handling Null or Missing Values: For some columns, missing values were replaced with defaults or averages. Null values in “key” columns were removed using filters.
Data Type Conversion: Columns were converted to appropriate data types to ensure consistency. Dates were converted to Date type, numerical columns to Decimal or Whole Numbers, and text columns to Text.
Column Splitting and Merging: Several columns were split to separate concatenated information, or merged to create a unified name (such as Customer Full Name).
Standardising Date Formats: All date columns were formatted consistently to facilitate time-based analysis. This step was important for ensuring accurate time-series analysis in Power BI.
Removing Unnecessary Columns: Irrelevant columns were removed to streamline the dataset. This helped focus the analysis on relevant information, reducing memory usage and improving performance.
2. Building a Relational Data Model
Secondly, we modeled the data to create a snowflake schema. This process involved creating relationships between the dimension and fact tables, ensuring cardinalities were one-to-many relationships.
Enabling active or inactive relationships, creating hierarchies for fields such as Geography (Continent-Country-Region) and Date (Start of Year-Start of Month-Start of Week-Date), and finally hiding the foreign keys from report view to ease the data analysis and visualization steps and reduce errors.

3. Creating Calculated Columns and Measures
Next, we used Power BI’s front-end formula language, DAX, to analyze our relational data model and create several calculated columns (for filtering) and measures (for aggregation), that we could later reference and use when analyzing and visualizing the data.
We used calculated columns to determine whether a customer is a parent (Yes/No), a customer’s income level (Very High/High/Average/Low), a customer’s priority status (Priority/ Standard), and the customer’s educational level (High School/ Undergrad/ Graduate).
The list of calculated measures is available below and includes key information on revenue, profit, orders, returns, and more.

4. Visualising the Data
The final step of the project was creating a multi-page interactive dashboard, including a range of visuals and KPIs that could serve management and lead to informed decision-making. We used several visuals and tools to demonstrate and visualize the data across the 4 report pages, including KPI cards, line and bar charts, matrices, gauge charts, maps, donut charts, and slicers. We made sure the report was fully interactive and simple to navigate, with icons used to enable filters, cancel filters, and guide users to each report page with ease. Features such as drill-through, bookmarks, parameters, and tooltips were also used throughout the dashboard, further enhancing its usefulness and impact on management.
Executive Dashboard: The first report page provides a high-level view of Adventure Works’ overall performance. We used card visuals to present Key Performance Indicators such as overall revenue, profit margins, total orders, and return rates. We also included additional cards to compare current and previous month performances, providing insights into recent trends, a line chart to visualize the trending revenue from 2020-2022 and highlight long-term performance, and presented the number of orders by product category to aid in understanding product sales distribution, and used a further table to display the top 10 products based on key indicators (total orders, revenue, and return rate).

Map: The second report page consisted of a map visual, an interactive representation of sales volume across different geographical locations. This offered insight into Adventure Works’ global sales distribution and worldwide reach.

Product Detail: The third report page focuses on detailed product-level analysis. It displayed detailed product information for the selected top 10 products from the Executive Dashboard, using the drill-through feature. It also included gauge charts presenting actual performance vs target performance of monthly orders, revenue, and profit, and included an interactive line chart to visualize potential profit adjustments when manipulating the price of the product, aiding in strategic decision-making regarding pricing strategies. This report page also included a line chart including key weekly product information on total orders, revenue, profit, returns, and return rate.

Customer Detail: The fourth and final report page provided a deeper insight into customer behavior and value. It used donut charts to break down customer groups into income level and occupation categories vs. total orders, helping in customer segmentation tactics, and used a matrix aided by KPI cards to identify high-value customers based on order and revenue contributions, aiding in identifying high-value customers and sales opportunities.

My Resume
Experience Background
Microsoft Power Platform Developer
Sage Automotive Interiors (Contract) (July, 2023 – Jan, 2024)
• Designed and developed Power Apps with a focus on user-friendly interfaces for data entry, leveraging Dataverse as the back-end data platform.
• Implemented robust form validation processes to ensure data accuracy before saving information to the Dataverse back-end, maintaining high-quality data standards.
• Integrated advanced search and edit features within the Power App, enabling users to efficiently locate and modify existing records stored in the Dataverse database.
• Adopted an iterative development methodology, incorporating continuous client feedback to refine and enhance Power App functionality, ensuring alignment with evolving business needs.
• Leveraged Dataverse as the back-end data repository, demonstrating proficiency in managing and organizing data structures to support the Power App's data storage and retrieval requirements.
• Ensured a user-centric design approach throughout the development process, prioritizing a seamless user experience for efficient data entry, retrieval, and editing within the Power App.
• Incorporated robust data security measures within the Power App, ensuring sensitive information stored in Dataverse is protected, meeting industry compliance standards and safeguarding against unauthorized access.
• Conducted performance optimization strategies for the Power App, enhancing responsiveness and reducing latency in data retrieval and modification processes, resulting in an improved overall user experience.
Senior Power BI Architect
Business Solutions & Services (BSS) (April, 2022 – Nov, 2023)
• Designed and implemented complex Power BI reports and dashboards that incorporate advanced features such as bookmarks, drill-through, and custom visuals.
• Developed data models in Power BI using advanced DAX calculations to derive meaningful insights from raw data.
• Integrated Power BI with external data sources and platforms, including SQL databases, Azure services, and REST APIs, to create comprehensive and dynamic reports.
• Created and optimized Power BI reports for performance and usability, ensuring efficient data visualization and interactivity.
• Collaborated with business stakeholders to understand requirements and translate them into effective Power BI solutions.
• Conducted performance tuning and troubleshooting of Power BI reports to improve data processing and visualization speed.
• Provided training and mentorship to junior team members on best practices for designing and developing Power BI reports and dashboards.
Microsoft Power BI/Power Platform Lead
Cinnova Technologies (April, 2022 – Nov, 2023)
• Developed and implemented ETL processes to extract, transform, and load data into Power BI, ensuring data accuracy and consistency.
• Designed and customized Power BI dashboards to visualize data and provide actionable insights to stakeholders.
• Integrated Power BI with various data sources, including databases, CRM systems, and cloud services, to create comprehensive reports.
• Implemented data modeling techniques in Power BI to optimize data relationships and enhance dashboard performance.
• Utilized DAX (Data Analysis Expressions) to create calculated columns and measures for advanced data analysis in Power BI.
• Developed Power Apps to streamline business processes and improve efficiency within the organization.
• Utilized Power Automate to automate workflows and integrate various applications and services across the organization.
• Leveraged Power BI to create interactive reports and dashboards, providing actionable insights to stakeholders.
Senior PowerBI Lead
Powersoft19 (August, 2020 – March, 2022)
• Imported and integrated data from Microsoft Dynamics 365 Finance and Operations (D365 F&O) into the Data Warehouse (DWH) for analysis.
• Developed and managed SQL Views and Database View configurations within the Data Warehouse for efficient data retrieval.
• Ensured data adjustments and refresh processes for both the Data Warehouse and Power BI reports through the Gateway.
• Implemented measures to improve overall data quality during the Extract, Transform and Load (ETL) process in Power BI.
• Optimized transformation logic in ETL processes, reducing processing times and enhancing efficiency based on business requirements.
• Designed and customized client-specific Power BI Dashboards to enhance analytical capabilities and insights.
• Conducted data modeling to cleanse and refine data before presenting it in Power BI, ensuring accuracy in reporting.
• Customized visuals using marketplace options and Charticulator to enhance the visual appeal and effectiveness of Power BI Dashboards.
• Oversaw Power BI Service operations and administration, ensuring data sharing and security measures are in place for stakeholders.
• Imported data from multiple sources, including D365, SQL, and Excel, into BI Tools, establishing data relationships and crafting various visualizations in Power BI.
• Created calculation fields using various DAX functions for efficient dashboard and worksheet preparation in Power BI.
• Managed data service gateways, including those with SQL Server and Power BI dashboards in production, ensuring data integrity and security.
Senior PowerBI & Functional ERP Lead
TechnaMax (June, 2017 – July, 2020)
• Gathered reporting requirements from stakeholders across various departments to understand key metrics and KPIs.
• Designed and develop interactive Power BI dashboards that visualize sales performance, inventory levels, and financial metrics.
• Created reports in Power BI that allow for drill-down and drill-through capabilities to explore data at different levels of detail.
• Incorporated advanced visualizations and custom visuals in Power BI to enhance data storytelling and Insights.
• Developed reports and dashboards that track operational efficiency, such as order processing times and inventory turnover rates.
• Collaborated with business analysts and data engineers to ensure data accuracy and consistency in reports.
• Implemented row-level security in Power BI to restrict access to sensitive information based on user roles.
• Scheduled and automate report generation in Power BI to provide regular updates to stakeholders.
• Trained end-users on how to interpret and use reports effectively to make informed business decisions.
• Continuously refined and improve reports based on user feedback and changing business requirements.
• Established a four-level chart of accounts for the organization.
• Performed data modeling and cleansing for Power BI dashboard development using Power Query.
• Created sales and stock dashboards in Power BI to address key performance indicators for stakeholders.
• Installed and manage SQL Server and databases for relevant users to ensure data availability and integrity.
• Managed the ERP deployment team for training and process management to streamline operations.
• Implemented financial management systems for the accounts department to handle transactional data and cash flow efficiently.
• Established a four-level chart of accounts for the organization to standardize financial reporting.
• Performed data modeling and cleansing for Power BI dashboard development using Power Query to ensure accurate reporting.
Education Background
Bachelor of Science in Computer Science
Lahore Garrison University.
• Specialization in Data Analytics Domain
• Demonstrated excellence in Computer Science labs, consistently delivering high-quality projects and solutions.
• Participated in various extracurricular activities, contributing to a well-rounded academic experience and honing valuable teamwork and leadership skills.
Soft Skill
Leadership & Strategic Planning
Training and Development
Teamwork and Coordination
Recruiting & Onboarding
Communication & Presentation
Technical Skill
STATISTICS
MICROSOFT EXCEL
POWER BI
STRUCTURED QUERY LANGUAGE SQL
PYTHON
Certifications
Professional Data Analyst Certification Program
Analytix Camp (Jan 2024 – July 2024)
1. Proficient in Excel: Demonstrated ability to manipulate data, perform complex calculations, create pivot tables, and generate insightful visual.
2. Power BI Specialization: Capable of designing interactive dashboards and reports to visualize data trends and patterns, enabling stakeholders to make informed business decisions..
3. Proficient in SQL: Profound understanding of SQL querying language, adept at extracting and manipulating data from relational databases to conduct thorough data analysis and generate meaningful insights.
4. Strong foundation in Statistics: Possess a solid grasp of statistical concepts such as hypothesis testing, regression analysis, and probability theory, enabling accurate interpretation of data and formulation of data-driven recommendations.
5. Competent in Python: Proficient in utilizing Python programming language for data manipulation, analysis, and visualization tasks, leveraging libraries such as Pandas, NumPy, and Matplotlib to derive actionable insights from diverse datasets.
6. Comprehensive understanding of Data Analysis Methodologies: Equipped with a holistic understanding of various data analysis techniques and methodologies, including exploratory data analysis (EDA), and regression analysis, to extract actionable insights and drive business growth.
7. Effective Communication and Presentation Skills: Able to effectively communicate complex analytical findings to diverse stakeholders through clear and concise reports, presentations, and visualizations, facilitating informed decision-making processes across organizational levels.
Verification Link: Fahad Farooq Certification - Analytix Camp
Learning Git and Github
Linkedin Learning (Feb 2019)
Testimonial
Muhammad Abbas
Chief Executive OfficerPower BI Project Development
via Fiverr - Mar 30, 2024 - Apr 30, 2024I am pleased to commend Muaz Khan for their outstanding dedication and achievements. They consistently exhibit a strong work ethic and enthusiasm for learning, contributing positively to our academic environment. Their willingness to take on challenges and their commitment to excellence are truly commendable. Muaz Khan is not only a high achiever academically but also a supportive and collaborative member of our community. Their accomplishments serve as an inspiration to their peers and reflect their potential for continued success in the future.
Contact With Me