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Karim Alaywan

Commercial Intelligence & Business Analytics

Turning marketdata intoreal opportunities.

I build the analysis and the systems that help businesses discover opportunities, make better decisions and grow, and I carry the bag in the field while doing it.

  • Data-driven
  • Commercial focus
  • Field experience
Karim Alaywan in an office, beside a wall reading Ideas, Data, People, Growth, with his handwritten signature in the lower right
EducationAmerican University of BeirutMS Business Analytics, GPA 4.0
SystemCommercial Intelligence OSLead discovery and field planning
Field experienceField experienceRestaurants · Pharmacies · Retail
PracticeBusiness analyticsDecisions before dashboards
Based inBeirut, LebanonWorking with teams anywhere

Featured Work

Real projects. Real business impact.

View all projects
Flagship project

Commercial Intelligence OS

A system I built for B2B lead discovery, prioritisation and sales decision support. It resolves messy market data into a clean business universe, places it in real territories, and turns that into a week of field visits.

View project

System at a glance

From raw market discovery to an executable field plan.

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

Analysis built around a decision.

Work across revenue management, customer analytics, healthcare, data engineering and applied AI, each project built around a business decision.

Machine Learning × Revenue Management

Predicting Hotel Cancellations

Hotels lose revenue to last-minute cancellations, but overbooking blind gets guests walked. Predict each reservation, then price the two errors against each other.

$10,620

Additional modelled profit from moving the decision threshold to 0.55. A simulated result on a public dataset, not realised revenue.

Python · XGBoost · SMOTE · Poisson simulation

Healthcare Analytics × Power BI × Decision Support

Ready for Winter?

Pneumonia is predictable to the week and preventable by known means. The question is whether the health system is positioned before the peak arrives.

9 weeks

Mobilisation window before the regional influenza signal peaks in week 7.

Power BI · Python (pandas) · GBD / WHO data · Forecasting

View all 5 projects

Future directions

Where the Commercial Intelligence OS could extend next. Neither has been built.

  • Future · not built

    Restaurant market intelligence

    Discovery and territory analysis pointed at restaurant operators, one of the segments the system already handles.

  • Future · not built

    Pharmacy opportunity intelligence

    Finding and ranking pharmacy accounts on the same discovery and scoring spine.

See the system these would extend

Experience

Commercial execution, operations, analytics.

  1. Aug 2026–present

    Commercial execution

    Business Development Representative

    Pik SAL

    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.

  2. Jan–Jun 2026

    Sales · operations · analytics

    Business Operations Analyst

    M2MED

    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.

  3. Aug–Nov 2025

    Operations analytics

    Supply Chain & Healthcare Data Analyst

    AUB Medical Center

    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.

About

I came to the data from the commercial side.

I have knocked on doors in Beirut, pitched sponsorship, run a CRM pipeline and built an e-commerce business from nothing. Then I went back to study the analytics properly.

That order changed how I work. When I open a dataset I already know which decision it is meant to change, because I have been the person who had to make that decision in the field with incomplete information.

Right now I am finishing an MS in Business Analytics at AUB and building a system that decides where a salesperson should spend their week. Most of what I enjoy sits in the gap between a clean model and a call someone actually has to make.

Tools I work in

SQLPostgreSQL / PostGISPythonPower BIn8nZoho CRM

Education

American University of Beirut

MS in Business Analytics

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

BBA in Business Information and Decision Systems

American University of Beirut

Aug 2021–Dec 2024

Dean's Honor List, AUB · Qatar 'Education Above All' Scholarship · Sustainability assessment, top 10% worldwide

A sunlit meeting room with glass partitions and plants. The left wall reads: Good data, better decisions.

Let's build what's next

Have a commercial problem worth solving?

I’m open to roles, collaborations and selected projects where commercial problems, data and execution meet.

Based in Beirut, working with teams anywhere.

What I can help with

  • Commercial intelligence and market opportunity analysis
  • Business analytics and decision support
  • Data pipelines, dashboards and automation
  • Sales and commercial process improvement