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My Power BI portfolio: interactive dashboards, reports, data models, DAX measures and Power Query steps.
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Cash Transfer Project
Implementing agency: Fouadi Foundation.
International partner: UNICEF.
Location: Aleppo city
- The report gives a full view of cash-assistance distribution to families and children, closely following payment receipt rates and flagging pending cases to ensure transparency. It also tracks household characteristics in detail, such as female-headed households, and records the number of field visits per family to verify that support reaches those entitled to it.
- The report analyzes the distribution of assistance and beneficiaries by neighborhood and displacement status (such as returnees of more than 3 years, displaced, or resident). This lets decision-makers measure how fairly resources are distributed across geographic levels and target interventions to the areas and neighborhoods with the greatest need.
- The report focuses on children by assessing social and gender distribution, with emphasis on the most vulnerable groups such as children with disabilities. It also follows the availability of children's legal documents and their education status (enrolled versus not enrolled), making it easier to design support and early-intervention programs that protect children's rights and provide a suitable learning environment.
- The report provides full tracking of field referrals across sectors (health, education, protection, nutrition, and livelihoods). It measures actual service completion rates (such as service received, on waiting list, service not received, or access not possible) to evaluate the performance of hospitals and service providers and identify operational gaps.
- The report identifies the reasons beneficiaries do not receive services (whether personal reasons or reasons related to the quality of the service provided). It gives decision-makers interactive, comprehensive filters (by neighborhood, sector, beneficiary type, or time period) to address challenges quickly and redirect funding and operational plans toward urgent priorities.
- Top filters to search by family number, relationship, neighborhood, and number of visits.
- Detailed table showing recipient data (name, relationship, ID number, father's name, and number of visits).
- Side panel showing the referral details of the selected family, along with information about the family's children.
- Filter buttons by gender (male/female).
- Key number indicators showing the total number of children, the number of children with legal documents, and the number of children with disabilities.
- Detailed table showing each child's data (name, year of birth, grade, disability status, education enrollment status, and more).
- Comprehensive filters at the top by: sector (health, education, protection...), service type, gender, category (adult/child), and reasons for not receiving the service.
- Detailed table tracking each referral case (beneficiary code, type of need, receiving relief organization, referral status, date, and more).
- Statistical table showing the number of families and their displacement details, distributed by neighborhood.
- Key indicators for the total number of families and the number of female-headed families.
- Chart showing the relationship of the recipient to the family (father, mother, grandfather...).
- Charts showing the cash-receipt rate and the distribution by residential neighborhood and the different displacement statuses.
- Side table distributing the number of children by residential neighborhood, displacement status, and gender.
- Key number indicators showing the total number of children and the number of children with disabilities.
- Charts showing the payment receipt rate, the geographic distribution of children across neighborhoods, and their distribution by gender and displacement status.
- List of the organizations and hospitals providing the service and the distribution of cases among them.
- Pie and bar charts tracking the referral status (service completed, not received, did not go, on waiting list, access not possible).
- Charts showing the distribution of referrals by relief sector, beneficiary type (adults/children), and gender.
Emergency Calls
- This project provides an interactive dashboard for monitoring and analyzing emergency calls and incident reports, giving senior management and decision-makers a comprehensive, real-time view to assess operational performance, reduce response times, and improve the efficiency of field resource allocation.
- The dashboard provides accurate, continuous measurement of key performance indicators (KPIs) for response time, starting from the moment a call is received at the call center, through dispatching field teams, to their arrival at the incident scene and the closing of the report.
- The dashboard integrates geographic zone and postal code data, enabling a comprehensive digital map of incident and report distribution by area.
- It enables leadership to identify areas with a high density of emergency reports and the times when pressure peaks, helping to proactively redistribute patrols and field emergency teams to prevent delays.
- A flexible filtering and search feature lets decision-makers instantly find any report or specific type of incident by entering keywords, without having to search through long tables.
- It uses custom visual elements and flexible HTML tables in place of the traditional display, allowing complex reports and the fine details of each incident to be reviewed in an organized, visually clear way.
- The dashboard gives a clear view of peak times throughout the day and week, helping management schedule shifts and distribute call-handling staff and response teams according to actual need.
- It gives senior management a reliable digital evidence base for budget requests, expanded procurement and equipment, or increasing field team numbers based on actual growth rates in reports.
Financials
- A financial analytics tool that consolidates data from different sources into a single source of truth within the organization. It processes and transforms complex financial figures and data (such as budgets, costs in US dollars, and revenues) into key performance indicators (KPIs) and visual charts that are easy to understand.
- It enables leadership and decision-makers to monitor financial performance, rationalize spending, and make accurate, fast decisions without relying on traditional manual reports.
- It allows browsing and filtering data by time period, sector, or budget, and focuses on cost and financial performance indicators in US dollars to assess the efficiency of spending and revenue.
- It highlights expense items and financial trends to uncover savings opportunities and reduce waste.
- Seamless drill-down from the company-wide level to the fine details of individual departments or projects.
HR Dashboard
- This report is designed for the Human Resources (HR) department, and its core function is to provide a comprehensive, data-driven analysis of the organization's human capital.
- It measures headcount and hiring rates, and tracks future talent needs.
- It measures the performance of employees and teams, and tracks adherence to key performance indicators (KPIs).
- It analyzes attendance and absence data, leave, and overtime hours, and their impact on workflow.
- It monitors resignation and turnover rates to understand the causes and develop solutions for retaining talent.
- It identifies skill gaps among employees and evaluates the effectiveness and return on investment of training programs.
- It tracks employee salaries, bonuses, and benefits and verifies that they comply with the approved budget.
- It provides senior management with a clear view for improving the work environment, productivity, and employee satisfaction.
Sales Marketing
- The report covers the sales and marketing system comprehensively across multiple years (2022 - 2024). It offers a strategic view of marketing spend efficiency, lead sources, geographic performance, and sales channels (online versus in-store), along with a detailed assessment of each product's profitability and inventory.
- Key performance indicators (KPIs): tracks conversion rate, costs, profit, total revenue, and number of visits, comparing growth against the previous year/period.
- Sales channel analysis: shows whether online sales account for the majority compared with direct in-store sales, and therefore helps direct technical and marketing resources toward improving the user experience on the best-selling channel.
- Lead sources: revenue distribution by source (email, referrals, social media, etc.), in addition to a revenue comparison between regions and sales countries.
- It contains a detailed table for each product linking stock quantity, scoring, number of invoices, average sales, revenue, costs, and net profit, with sparklines to follow trends, avoiding overstocked goods or running out of the most in-demand products.
- It identifies the most profitable marketing campaigns and lead sources so investment in them can be increased and spending on low-return channels reduced.
- The main dashboard (Home Dashboard) is the primary interactive interface for managing sales and marketing. It highlights overall KPIs such as revenue, profit, and conversion rate, along with the distribution of sales by sales channel, campaign, and geographic region.
- Product and inventory performance report (Products Page): a detailed table analyzing each product's performance, linking stock quantity, scoring, number of invoices, revenue, costs, and net profit, with trend sparklines.
- The data model (Model View) shows the structure and the relationships between tables (Star Schema), where dimension tables (such as customers, marketing campaigns, products, and countries) connect to the main sales table (
Sales Data) to ensure accurate linking and analysis.
- The data processing editor (Power Query) represents the data preparation and cleaning stage (ETL), showing the applied steps for transforming and formatting data, with a quality check confirming it is 100% error-free before it is loaded into the report.
- The list of DAX measures shows the calculation formulas organized in folders, used to compute growth indicators, financial differences, and comparisons with previous years for each indicator.
WeatherAPI Power BI
- This report is an interactive Power BI dashboard specialized in monitoring and tracking real-time weather conditions and air quality indicators for Syrian cities, based on structured data extracted from WeatherAPI.com.
- The report provides a comprehensive, dynamic reading of weather conditions and environmental factors for a number of cities (such as Aleppo, Damascus, Homs, Latakia, and Tartus). It links current temperature, weekly forecasts, wind movement, humidity levels, and sunrise and sunset times, along with a detailed analysis of air quality components and pollutant levels.
- It shows the selected city's name (such as Aleppo), the current temperature, the weather condition, and the time of the last update, with quick navigation between other cities (Damascus, Homs).
- A chart with top cards tracking the forecast temperatures for 7 days.
- Weather indicator cards (KPIs): including visibility, wind speed, humidity, UV index, atmospheric pressure, and precipitation.
- Air Quality Index (AQI) analysis: a circular indicator showing the overall air quality level, along with a proportional breakdown of gases and fine particles: suspended particles, carbon monoxide, nitrogen dioxide, sulfur dioxide, and ozone.
- It contains sunrise and sunset times, along with a watch list of the chance of rain for each day of the week.
- The report provides early warning of air pollution levels (especially fine particles PM2.5 and PM10) to issue preventive guidance for people with respiratory diseases and the elderly. It also uses temperature, humidity, and rain forecasts to organize irrigation, crop planning, and more.
Hospital ER
- This report is an analytical dashboard for emergency department performance, giving decision-makers a comprehensive view of operational efficiency, patient flow, and the quality of service provided.
- The report focuses on measuring the efficiency of the emergency department and the patient experience from the moment of arrival until discharge or referral. It aims to uncover operational bottlenecks, understand who visits the department, and monitor satisfaction levels to improve the quality of healthcare.
- It includes operational performance indicators (KPIs): total emergency cases - average wait time - patient satisfaction rate - admission rate.
- It also includes referrals to departments and specialties: no referral (treated and discharged) - general medicine - orthopedic surgery - other specialties: physiotherapy, cardiology, neurology, gastroenterology, and nephrology.
- It also includes the demographic distribution of patients: age groups - gender.
- The main benefit of this report is giving medical management a clear strategic view to measure emergency department efficiency and identify operational bottlenecks. Linking average wait times to patient satisfaction levels, admission rates, and referrals to other departments supports accurate decisions to redistribute medical staff during peak hours, activate fast-track triage for minor cases, and proactively manage bed capacity, which reduces overcrowding and raises the quality of care provided.
- The executive visual interface (Executive Dashboard) summarizing emergency department performance.
- It contains the key indicators, a heat map to identify peak times, and visit distributions by gender, age, ethnicity, and medical department.
- It gives decision-makers a comprehensive, quick view to assess operational efficiency, staff distribution, and address weak points.
- The executive visual interface in a different color scheme.
- A detailed screen displaying the emergency department's visitor records individually.
- It contains patient data (ID number, name, age, gender, ethnicity), the department referred to, visit date, satisfaction score, and wait time in minutes.
- It lets staff search and filter precisely and review the full details of each case.
- The underlying infrastructure and back-end data model built in Power BI.
- It includes the main data table (Hospital ER) linked to the Calendar table, along with measure tables (Measures) for mathematical and analytical calculations.
- It shows how the data is processed and how growth rates, variance, and peak times are calculated dynamically to ensure report accuracy.
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