Senior Data Scientist
Project Management · PMO Setup · Digital Transformation
GenAI & MLOps · Python · NLP · BI · Web Developer
O&M · NRW Expert · ML Automation · Data-Driven Strategy
Consultant & Trainer
I’m Mohamed El-Mansy, a Project Consultant, and Digital Transformation Leader with over 14 years of international experience delivering large-scale funded development programs and advanced AI-driven solutions across Egypt, Saudi Arabia, UAE, and Oman.
My expertise spans private sector development, SME competitiveness, and investment facilitation, with a proven record in EU, USAID, GIZ, KfW, and VNG projects supporting Non-Revenue Water Management, economic growth, infrastructure, and sustainability. I am adept at policy dialogue with governments, financial institutions, and private sector stakeholders, aligning development priorities with actionable strategies.
As a Senior Data Scientist & AI Consultant, I specialize in Python, cloud analytics, GenAI, and explainable AI (XAI). I design and deploy LLM-powered tools, scalable AI products, intelligent dashboards, and self-serve BI platforms using Python, SQL, Power BI, and NLP—helping organizations streamline KPIs, automate compliance, and reduce inefficiencies.
My portfolio includes leadership in MLOps, model governance, and ethical AI, delivery of over 1,700 hours of technical training, and facilitation of stakeholder engagement in data-driven legal, tax, and compliance transformation projects.
Currently pursuing an Executive Master of Business Administration (Cardiff Institute, UK), I bridge policy, finance, and technology to foster public-private partnerships and drive sustainable, innovation-led growth under the EU Global Gateway framework.
End-to-end delivery across strategy, data, and execution — designed for measurable impact and enterprise reliability.
Lead strategic, AI-enabled programs from discovery to rollout, aligning exec priorities, risk, and delivery.
Design utility, analytics, and digital strategies that connect policy, finance, and technology to business outcomes.
1,700+ hours delivered — bespoke curricula in AI, BI, Python, data visualization, and executive data literacy.
Executive-grade analytics in Power BI, Tableau, and Python — turning raw data into decisions.
Build predictive scoring, CBA models, and KPI suites that guide tactical and strategic decisions.
AI-powered portals and workflows for data collection, reporting, and compliance — built for scale.
National Water Company (NWC), Saudi Arabia
Global clients · Remote & Onsite (EG, KSA, UAE, OM, UK, CA)
Independent consultant delivering high-impact solutions across analytics, software, and training. Engagements span discovery → delivery → adoption, with measurable business outcomes and enablement for in-house teams.
2020–Present · KPI strategy · ML/NLP · Dashboards · Upskilling
Design measurable analytics programs, deploy production ML, and embed decision dashboards; develop internal capability via targeted training.
2010–Present · Full-stack · APIs · Databases · DevOps
Ship secure, scalable platforms and APIs; optimize databases; integrate pragmatic AI features; and operate reliable production systems.
Holding Company for Water and Wastewater – Cairo
Oversaw nationwide Water Operations & Maintenance Business Plans and NRW reduction programs across 25 affiliated companies. Directed DMA strategy, SCADA/GIS integration, quality inspections, and subcontractor management while enabling staff through training and toolkits. Contributed to donor-funded initiatives (USAID, GIZ, EU, VNG) that advanced Egypt’s NRW strategy.
Damietta Water and Wastewater Company – Damietta
Contributed to strategic leakage detection, pump installations, and technical studies for DMA optimization. Chaired committees overseeing wastewater projects, pump evaluations, and annual maintenance for rainwater networks.
Greater Cairo Water Company – Cairo
Specialized in flow/pressure calibration, SCADA integration, and active leakage control across treatment plants and distribution systems.
Cardiff Institute, United Kingdom
Faculty of Engineering, Cairo University
Mother Tongue
Native fluency in writing, speaking, and comprehension.
Full Professional Proficiency
Experienced in technical writing, teaching, and professional communication.
NWC, Saudi Arabia (2024)
Challenge: Fragmented O&M contracts and siloed reporting slowed decisions.
Solution: Applied XAI to unify contract analytics with executive dashboards.
Impact: Faster sourcing and oversight; measurable lift in O&M efficiency.
KAUST, Saudi Arabia (2024)
Challenge: High incident rates and limited predictive visibility.
Solution: Built AI-enabled monitoring with leading indicators and alerts.
Impact: Reduced road incidents by 15% in 6 months.
Hull, UK (2024)
Challenge: Long queues and manual order tracking.
Solution: Launched a scalable ordering & real-time status platform.
Impact: +30% throughput, −25% wait times.
VNG, Egypt (2023–2024)
Challenge: Elevated real losses and reactive interventions.
Solution: AI-based monitoring, pressure management, and targeted repairs.
Impact: NRW reduced by 25% in pilot zones.
USAID, Egypt (2019–2024)
Challenge: Systemic losses and fragmented practices across utilities.
Solution: Smart metering, DMA rollout, and skills transfer at scale.
Impact: Sustained NRW reduction of up to 30%.
GIZ, Egypt (2018–2024)
Challenge: Lack of granular control and leak localization.
Solution: Defined DMAs via GIS, hydraulic modeling, and field validation.
Impact: Water losses cut by ~15% in target areas.
EU, Egypt (2019–2023)
Challenge: Inconsistent O&M practices and KPI visibility.
Solution: Optimized O&M processes and deployed KPI dashboards.
Impact: Up to 20% NRW reduction in supported utilities.
Canada (2023)
Challenge: Low conversion and limited personalization.
Solution: Predictive models for recommendations and churn risk.
Impact: Sales uplift of ~40%; higher repeat purchases.
RMIT, Australia (2022)
Challenge: Need for real-time, high-accuracy detection.
Solution: Optimized YOLO pipeline with edge-friendly inference.
Impact: Higher precision/recall and lower latency on live feeds.
EU, Egypt (2019–2022)
Challenge: Unclear ROI for nationwide NRW program.
Solution: Pre-feasibility with cost–benefit and rollout scenarios.
Impact: Informed national policy and funding decisions.
KfW / Dorsch, Egypt (2019–2020)
Challenge: Limited visibility into DMA performance.
Solution: Smart sensors, analytics, and alerting on KPIs.
Impact: NRW decreased by ~20% post-deployment.
EU, Egypt (2015–2017)
Challenge: Aging infrastructure and rising losses.
Solution: Reform roadmap—pressure zones, asset planning, KPIs.
Impact: ~10% NRW reduction in early phases.
Implementing smart systems, ERP, SCADA, GIS & IoT for resilient infrastructure.
Strategies, analytics & international best practices to reduce water loss.
Turning raw data into actionable insights with ML, predictive analytics, and Generative AI.
Building transparent AI systems that drive trust, accountability & regulatory compliance.
KPI frameworks, centralized O&M, and benchmarking for efficiency.
Policies, technologies, and strategies for resource-efficient utilities.