Hi, I’m Jahangir Khan
a
Data Analyst
Power BI Specialist
SQL Specialist
HR Coordinator
As an aspiring Data Analyst with a Master’s in Administrative Sciences, I’ve recently completed hands-on training in Power BI, Excel, SQL, and Python—equipping me with the practical tools needed to dive into the world of data. Currently working as an HR Coordinator, I bring a strong understanding of organizational processes and team dynamics, which enhances my ability to interpret and apply data in real-world scenarios. During my training, I worked on practical projects that focused on data cleaning, dashboard creation, and SQL-based reporting—experiences that sharpened both my technical and analytical thinking. I’m now eager to transition into the data analytics space, where I can blend my domain knowledge and technical skills to help businesses solve complex challenges through data-driven decisions.
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
HR Co-ordinator
HTA (Oct 2024 - Present)
- Coordinate end-to-end recruitment processes, including job postings, scheduling interviews,
and communicating with candidates.
- Maintain accurate and up-to-date employee records, ensuring confidentiality and compliance.
- Handle employee queries regarding HR policies, benefits, and payroll.
- Assist in the onboarding process for new hires, including documentation, orientation, and
benefits enrollment.
- Support HR Manager in organizing training programs and performance evaluations.
- Prepare Monthly reports on HR metrics like turnover rates, absenteeism, and hiring trends
Education Background
Master's of Administrative Sciences (MAS)
University of Karachi (Feb 2022 - Jan 2023)
Post Graduate Diploma in Public Administration (PGDPA)
University of Karachi (Feb 2021 - Jan 2023)
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
Advanced Excel
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Learning Git and Github
Linkedin Learning (Feb 2019)
Testimonial
Muhammad Abbas
Chief Executive OfficerPower BI Project Development
via Fiverr - Jan 30, 2025 - May 30, 2025I am pleased to commend Jahangir 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. Jahangir 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