Hi, I’m Syeda Raazia Rehman
a
Data Analyst
Power BI Specialist
SQL Specialist
HR Professional
As a self-motivated and reliable professional with two years of experience as a dedicated Focal Person, I am building my career driven by a strong commitment to efficient operations and organizational support. My experience has equipped me with solid skills in team management, daily operations, and monthly reporting, along with practical knowledge of recruitment, payroll, policy development, and accurate record-keeping. I have successfully handled high-impact events and managed email campaigns while delivering consistent customer support. With a proactive mindset and dedication to continuous improvement, I aspire to contribute to well-organized, people-focused environments where I can support smooth operations and effective communication.
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
Freelance Venue Staff
British Council (Summer Session 2024)
I worked as a exam center freelance venue staff (invigilator) with British Council for A/O levels examination, my core
responsibilities were:
- Follow and fulfill all relevant standards & procedures, provided
by the British Council Examinations Services and the relevant Exam Boards.
- Enable good customer satisfaction by giving candidates clear direction and answering their enquiries.
- Conduct candidate entry, exit, identity checks.
- Ensure special arrangements are provided if required any.
- Actively monitor candidates during tests to make sure that there
is no violation of test conditions and exam standards are
maintained.
- Ensure all material is accounted for and handed over securely to the supervisor.
- Maintain accurate records of exam assignments. Complete all
reports, logs and claims accurately as required.
- Follow all relevant guidelines and policies in the areas of: Data
Protection, Child Protection, Health & Safety, Equal Opportunities and Diversity, and Anti-Fraud.
- Report any incidents, emergencies or breaches of security to the appropriate test day supervisor.
- Any additional duties given by the supervisor.
Project Associate
Chip Training & Consulting (Dec 2021 - Oct 2022)I acted as the Focal Person for multiple projects. Most prominent among them were the Polio eradication program and a project with Nutrition International. My responsibilities majorly included conducting Recruitment drives for field staff as well as for internal staff (if required), managing daily operations related to the project, maintaining payroll details of all our field staff (prominently of polio staff), maintaining monthly reporting for WHO and Nutrition International. I have also carried out the field investigations as well as led them for PTPP-WHO project. Managing my provincial core teams working on the projects was one of the important tasks of my daily routine. I had carried out trainings/orientations when needed, updating policy manual if needed and managed data and records for all the staff internal as well as field staff of the different project.
HR Officer
Prism Techonologies (Feb 2020 - Sep 2020)My duties included carrying out the recruitment drives. Prism being a call center used to had a very aggressive recruitment process. from designing adds to posting them, from shortlisting the candidates to contacting (calling/emailing) them, from taking interviews to appointing them, from orienting to training them was all part of my job description. Other than recruitment I was also responsible for managing payroll details of the staff, keeping correct and upgraded track records of staff and looking after all the paperwork. I have also acted as point of grievance for the staff taking actions related to any misconduct was also a part of my job description.
HR Intern
Care International (Sep 2019 - Dec 2019)Being an Intern I was responsible for making calls and scheduling interviews of the shortlisted candidates. I used to look after the personal files and keeping correct and upgraded record of all the staff member both internal and field staff. Tracking and updating the attendance/leave files (soft as well as hard copies). I had also remained a part of their management team in their High Profile Internal and External Events.
Education Background
Bachelor’s in Business Administration
SZABIST (2015-2019)
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 (Jun 2025 – Dec 2025)
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: Syeda Raazia Rehman Certification - Analytix Camp
Testimonial
Muhammad Abbas
Chief Executive OfficerData Analytics Project Development
via Fiverr - May, 2025 - Dec, 2025I am pleased to commend Syeda Raazia Rehman for her exceptional dedication, consistency, and steadfast commitment to excellence. She consistently exhibits a strong work ethic, keen intellectual curiosity, and a sincere passion for learning, all of which enrich and positively influence our academic environment. She approaches challenges with confidence, maturity, and resilience, viewing them as opportunities to grow and excel while always striving to achieve her highest potential. Her respectful, cooperative, and positive demeanor makes her a pleasure to work with, and her ability to balance academic success with teamwork and developing leadership qualities distinguishes her as a highly valued and respected member of our community. Syeda Raazia Rehman’s achievements, admirable character, and forward-thinking mindset continue to inspire her peers and clearly reflect her bright potential for future success.
Contact With Me