Hi, I’m Bilal Basheer
a
Data Analyst
Power BI Specialist
SQL Specialist
Social Media Executive
Experienced Data Analyst with a focus on turning raw data into actionable insights that support business growth and efficiency. Skilled in financial and business data analysis, including data extraction, cleaning, and visualization. Proficient in building interactive dashboards that empower strategic decision-making. Known for developing data-driven solutions that align with financial and operational goals. Committed to using analytical expertise to drive performance and continuous improvement.
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
Data Analyst/Social Media Executive
3reesixty (Aug 2023 - Present)
- Collected, cleaned, and analyzed financial and business data to drive accurate insights, which supported smarter, data-driven decision-making across the company.
- Built and maintained dynamic dashboards and MIS reports in Power BI and Excel, boosting visibility into financial and marketing performance.
- Collaborated with business teams to turn data insights into actionable strategies that improved operations and strategic planning.
- Led digital marketing efforts across Facebook Ads, Google Ads, and Go High-Level CRM, increasing lead generation and audience engagement.
- Managed social media and developed outreach campaigns that elevated brand presence and customer interaction, while streamlining internal processes using Google tools.
Trade Officer/Credit Officer
MCB Bank (Jul 2023 - Aug 2024)
- Monitored and reconciled import-related GL heads to ensure accurate financial reporting and compliance with regulatory standards.
- Reviewed LC and contract requests, analyzed price variances, and managed import bill retirements, improving transaction accuracy and timeliness.
- Coordinated with clients, Relationship Managers, and Trade Service Center to ensure fund availability and smooth document processing.
- Handled disbursement and adjustment of various loan types including SBP loans, Demand Finance, and Export Refinance, boosting efficiency in loan operations.
- Created repayment schedules, processed regulatory loan documents, maintained MIS, and ensured timely reporting to the State Bank, enhancing compliance and reducing delays.
Credit Officer
Bank Islami (Sep 2021 - Jun 2022)
- Scrutinized auto finance documents to ensure accuracy and compliance with regulations, resulting in reduced processing errors.
- Verified customer loan details through ECIB reports for risk assessment, leading to more accurate risk profiling and better loan approval
decisions
- Analyzed customer credibility using the Debt Burden Ratio to make informed lending decisions, which enhanced the bank's loan
portfolio quality
- Maintained updated customer status in MIS for efficient record-keeping, improving data accuracy and facilitating timely decision-making
TDR Officer/Credit Officer
UBL Bank (Nov 2019 - Sep 2021)
- Booked Term Deposit Receipts and handled Visa Block Accounts, ensuring accuracy and enhancing the customer experience.
- Calculated and processed profits for Naya Pakistan investments, helping drive financial growth and optimize returns.
- Managed issuance of Premium Prize Bonds and maintained secure, accurate delivery to build trust and uphold the bank’s reputation.
- Processed and cleared physical cheques using NIFT tools, handling around 400 cheques across 20 branches with precision and speed.
- Resolved NIFT-related issues efficiently, ensuring smooth clearing settlements and minimizing processing delays.
Junior Officer/Archiving Officer
Habib Metropolitan Bank (Feb 2016 - Nov 2019)
- Processed various account openings—including Individual, Sole Proprietorship, Partnership, and Company accounts—ensuring accuracy and compliance using the MS Office Suite.
- Managed and updated account information both digitally and manually in MIS, maintaining data integrity and supporting audit readiness.
- Handled and organized all account-related forms like e-banking, mandate, and CNIC updates, ensuring easy access and regulatory compliance.
- Maintained secure storage and systematic filing of records in both branches and warehouses to meet audit and compliance standards.
- Streamlined documentation processes to ensure quick retrieval, efficient processing, and strong operational control.
Education Background
MBA in Supply Chain Management
Iqra University (Jun 2018 - Mar 2022)
BBA in Banking & Finance
Iqra University (Nov 2011 - Nov 2015)
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 Bilal Basheer 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. Bilal Basheer 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.