Commercial Intelligence & Business Analytics
Turning fragmented market data into commercial decisions.
I build the analysis and the systems that decide where commercial effort goes — and I carry the bag in the field while doing it.
Business Analytics × Commercial Intelligence × Sales
About
I work at the intersection of business intelligence, commercial analytics and sales — using data and technology to turn business problems into better decisions and commercial opportunities.
I'm pursuing an MS in Business Analytics at the American University of Beirut, with hands-on work across SQL, Power BI, Python, predictive analytics, data pipelines, automation and applied AI.
What differentiates the path is the commercial half. I've prospected B2B accounts face to face, run a CRM pipeline, sold sponsorship and launched an e-commerce business. That's why my analytics work starts from a decision someone actually has to make, not from a dataset.
Flagship project · personal engineering & analytics work, 2026
AI-Enabled Commercial Intelligence & Field Sales Decision Support System
Automating lead discovery only speeds up step one. A longer list doesn't tell a salesperson which door to knock on first, or which doors are worth walking between. This system resolves messy market data into a business universe, places it in real territories, and turns it into a week of field visits.
115
Unique supplier candidates from 528 search configurations
0
Duplicate merchant IDs across 1,627 pipeline rows
64
Micro-zones in the illustrated Beirut implementation
~59
Candidate visits across 5 days in one planning prototype
Selected projects
Five projects across revenue management, customer analytics, healthcare, data engineering and applied AI. Each one names what it proved and what it didn't.
Machine Learning × Revenue Management
Hotels lose revenue to last-minute cancellations, but overbooking blind gets guests walked. Predict each reservation, then price the two errors against each other.
Moving the decision threshold from 0.50 to 0.55 recovered $10,620 more modelled profit — optimising for margin, not accuracy.
Team project · MSBA 315, AUB
View projectCustomer Analytics × Predictive Modeling
In a multi-SIM market, a silent customer may be switching handsets or may already be gone. The operator needs to tell those apart before revenue drops.
Built as an early-warning problem rather than a scoring exercise: the model was selected on its ability to catch customers before they go silent.
Team project · Africell Gambia engagement, AUB
View projectHealthcare Analytics × Power BI × Decision Support
Pneumonia is predictable to the week and preventable by known means. The question is whether the health system is positioned before the peak arrives.
The regional influenza signal peaks in week 7, giving a nine-week mobilisation window — while childhood DTP3 coverage fell from about 83% to below 50%.
Two-person project · MSBA 382, AUB
View projectData Processing × Databases × Knowledge Graphs
Skill demand is scattered across job boards, occupational standards and macro indicators. No single source tells a student what to learn or where to go.
93 of 133 demanded skills matched to O*NET technology entries, 54 of them flagged Hot Technology by the US Department of Labor.
Team project · MSBA 305, AUB
View projectAgentic AI × NLP × Evidence Validation
ERP documentation fails in one direction: it asserts controls the configured system does not enforce. The agent has to refuse to write those claims.
A 19-rule deterministic validator sits between the model and the document — every implementation claim resolves to evidence, or it does not get published.
Team project · MSBA 316, AUB
View projectExperience
Pik SAL
Aug 2026 — present · Commercial execution
B2B buyer and supplier acquisition: field prospecting, qualification, platform presentations, onboarding and activation.
Pipeline and activity tracked in Zoho CRM; territory planning and structured lead prioritisation across retail, HoReCa, pharmacy and supplier segments.
M2MED
Jan — Jun 2026 · Sales · operations · analytics
Ran sponsorship sales, event operations and analytics in one role. Secured $20K+ in sponsorship revenue through cold outreach and deal structuring.
Built a cross-event data pipeline and Power BI dashboards on attendance, peak hours and repeat participation; automated registration workflows in Python. The MEMA 2025 analytics deck contributed to winning the MEMA 2026 AUB contract.
AUB Medical Center
Aug — Nov 2025 · Operations analytics
Automated a supply-analytics dashboard turning raw consumption data into weekly KPI trends and unit-level comparisons.
Identified ordering non-compliance against approved supply lists and presented findings to cross-functional stakeholders.
ClickCartlb
Feb 2025 — Jan 2026 · Entrepreneurship
Built and launched an e-commerce business end to end: site, UX, sourcing and operations.
Inventory and sales tracking with Excel forecasting; Meta Ads managed on campaign data. Improved conversion rate by 20% through journey analysis, UX changes and A/B testing.
Aramex Lebanon
Jun — Aug 2025 · Logistics analytics
Analysed operational, sales and Salesforce CRM data; mapped operational data flows and supported customer-behaviour and lead monitoring.
Also at AUB: Graduate Teaching Assistant and Digital Content & Administrative Assistant (Sept 2025 — present).
Education
American University of Beirut — Suliman S. Olayan School of Business
Sept 2025 — Aug 2027 · GPA 4.0 / 4.0
Applied Statistical Analysis · Data Processing Framework · Predictive Analytics & Machine Learning · Text Analytics & NLP · Healthcare Analytics · Marketing Analytics
American University of Beirut
Aug 2021 — Dec 2024
Dean's Honor List, AUB · Qatar 'Education Above All' Scholarship · Sustainability assessment — top 10% worldwide
Let's work together
I take on commercial projects, analytics work, collaborations and roles where the commercial side and the data side have to meet. Based in Beirut, Lebanon; working with teams anywhere.