Mohamed's CV
Mohamed Dessoky
Senior Data Analyst | Business Intelligence
Profile summary
Accomplished Senior Data Analyst with 9 years of progressive experience in business intelligence, data engineering, and analytics operations across the GCC and international markets. Designing enterprise data architectures, directing nationwide healthcare and commercial analytics initiatives, and deploying automated intelligence platforms that drive strategic decision-making. Committed to delivering high-impact data solutions through rigorous modeling, cross-functional leadership, and technical excellence.
Career highlights
Healthcare Intelligence Delivery: Launched an emergency healthcare demand and cost intelligence product covering 500 hospitals across Saudi Arabia and commercialized it through a monetization program.
Data Pipeline Automation: Implemented workflow orchestration for 20 plus production data pipelines with Dagster and built end-to-end ETL monitoring and alerting with n8n.
Database Consolidation: Consolidated data from 100 databases into Google BigQuery to enable unified analysis and AI-driven conversational analytics for commercial teams.
Data Entry Automation: Automated large-scale Student Information System data entry for 2,000 students using Selenium, saving teams 100 hours of manual processing per semester.
Key skills
Professional experience
Directs analytics initiatives and business intelligence consulting operations, establishing frameworks for internal stakeholders and external clients. Translates complex data requirements into actionable insights across multiple industry verticals through advanced modeling and pipeline development.
- Directed the analytics framework for Ayady, delivering key performance indicator dashboards covering workforce availability, service fulfillment, recruitment performance, and customer conversion funnels.
- Built workforce supply-and-demand models segmented by region, nationality, experience level, and service category to guide strategic expansion decisions.
- Deployed educational analytics dashboards for YaSchools, giving leadership visibility into enrollment trends, school performance, and operational metrics.
- Automated government tender market intelligence with Python web scraping pipelines over the Etimad platform, powering leadership bid and expansion decisions.
Managed enterprise data quality practices and nationwide healthcare analytics initiatives for semi-government stakeholders, overseeing the standardization of analytics-ready zones and data lakes within Impala and Hive environments.
- Re-architected the national Telehealth semantic data model and patient-cluster KPI framework covering 10+ patient-centric KPIs, giving Ministry of Health stakeholders visibility into service fulfillment, waiting times, cluster migration, and unmet healthcare demand.
- Launched an emergency healthcare demand and cost intelligence product covering 500 hospitals across Saudi Arabia, commercialized through the Yamamah Data Monetization Program with major hospitals among its paying subscribers.
- Delivered nationwide healthcare accessibility, catchment-area, and underserved-area intelligence across all 13 regions of Saudi Arabia, used by government entities, providers, and investors for infrastructure planning and resource allocation.
Coordinates analytical operations alongside medical, operational, and administrative departments, translating operational requirements into dashboards and performance management frameworks.
- Automated recurring reporting and data preparation, saving 8 hours of manual effort per week while improving accuracy and timeliness.
- Implemented workflow orchestration for production data pipelines with Dagster and end-to-end ETL monitoring with n8n.
- Established centralized healthcare data models powering executive reporting and operational analytics.
Directed technical workflows and cross-functional analytics for commercial units, coordinating integration pipelines and database unification projects across enterprise systems while establishing automated validation protocols for regulatory compliance.
- Consolidated data from 100 databases into Google BigQuery, enabling unified analysis and AI-driven conversational analytics for commercial teams.
- Built automated competitor price monitoring across 10 major retailers, tracking SKUs on a daily cadence, including mobile-app scraping solutions.
- Developed a pricing-compliance data engine validating the catalog against the SFDA drug and herbal price lists, and resolved critical data quality issues on Wasfaty and Nupco integrations.
- Built Power BI dashboards incorporating advanced DAX measures to establish unified KPI visibility for Commercial and Logistics leadership.
- Created product name matching algorithms using Fuzzy Wuzzy and scikit-learn, achieving 80% match accuracy across large third-party datasets.
- Built the university first interactive institutional dashboards using Plotly Dash, Power BI, and SQL to monitor SIS data entry and semester statistics.
- Automated large-scale Student Information System data entry for 2,000+ students using Selenium, saving teams 100+ hours of manual processing per semester.
- Created automation scripts standardizing router configurations across multiple models and brands.
- Designed internal tools automating repetitive data-entry tasks.
- Built workforce supply and demand models segmented by region, nationality, experience level, and service category to guide strategic expansion decisions.
- Deployed educational analytics dashboards for YaSchools, giving leadership visibility into enrollment trends, school performance, and operational KPIs.
- Automated recurring reporting and data preparation workflows, saving 40 hours of manual effort per week while improving accuracy and timeliness.
- Implemented workflow orchestration for 20+ production data pipelines using Dagster and end-to-end ETL monitoring and alerting with n8n.
- Consolidated data from 100 databases into Google BigQuery, enabling unified analysis and AI-driven conversational analytics for commercial teams.
- Built automated competitor price monitoring across 10 major retailers, tracking 30 SKUs on a daily cadence using mobile app scraping solutions.
- Built institutional dashboards using Plotly Dash, Power BI, and SQL to monitor Student Information System data entry and semester statistics.
- Automated data entry for 2,000 students through Selenium, reducing manual processing time by 100 hours each semester.
Projects
Designed the semantic data model and patient-cluster KPI layer (10+ KPIs) over the national Telehealth data estate, with cluster-migration and unmet-demand logic built into the model.
Power BI Semantic Models SQL Impala/HiveIntegrated the OSRM routing engine with Impala/Hive big data infrastructure to batch-compute driving distance and travel time for 50M+ location-to-hospital pairs.
OSRM Impala/Hive PythonEngineered ingestion and modeling of encounter data from 500 hospitals via Nafees integration, serving subscriber-facing analytics as a commercial data product.
Nafees Integration Impala/Hive Power BIBuilt web and mobile-app scraping pipelines feeding BigQuery for daily monitoring of 30K+ SKUs across 10 major retailers, plus SFDA pricing-compliance validation against a 10K-item price list.
Scrapy Selenium Wireshark Google BigQueryArchitected orchestration of 20+ production pipelines with automated end-to-end ETL monitoring and alerting.
Dagster n8n Python SQLBuilt automated tender collection and analysis pipelines powering leadership bid and expansion decisions.
Python Web ScrapingEducation
Mechatronics Engineering
- 10th of Ramadan City, Egypt