Illustration of Abdelmoutaleb working in a data analytics workspace

Data Scientist & Data Analyst

ABDELMOUTALEB
BENLYAZID

I transform raw data and business problems into reliable analysis, dashboards, reports, and ML/AI solutions. Then I integrate them into the workflows where people use them.

Master in Business Analytics and Data Science · UIR · 2026

Academic performance3.75 / 4.00 GPAMaster · Business Analytics & Data Science
Data profileAnalytics · ML/DL · NLPFrom preparation to evaluation
Delivery strengthDashboards · Reports · IntegrationInsights implemented in business workflows
Proof base11 documented data projectsData science · Analytics · Applied AI

Tools for the full
data lifecycle.

Preparation, analysis, modelling, evaluation, reporting, and business integration.

PythonCleaning, analysis, feature engineering, modelling, and automation
PostgreSQLSQL querying, relational modelling, and reliable data structures
Power BIDashboards, DAX, Power Query, KPI systems, and reporting
TensorFlowDeep-learning and CNN training and evaluation workflows
FastAPIDeploying analytical logic and model inference through APIs
OdooIntegrating data and AI outputs into operational business workflows
GitReproducibility, traceability, documentation, and collaborative delivery

I work across the path from raw data to business value.

Abdelmoutaleb Benlyazid

I’m Abdelmoutaleb Benlyazid, a Data Scientist and Data Analyst completing a Master in Business Analytics and Data Science at Université Internationale de Rabat.

I understand the business question, collect and clean its data, analyze patterns, build and evaluate the appropriate solution, then communicate or integrate the result through dashboards, reports, automation, ERP workflows, or APIs.

CoreData preparation · Analytics · ML/AICommunicationDashboarding · ReportingDomainsHR · Finance · Operations

One lifecycle.
From data to decisions.

Data work applied to
real business problems.

From operations
to data solutions.

Third place.
Smart Trade Challenge.

Co-designed PortNet Live Trade Copilot around first-time-right trade-file submissions, measurable KPIs, operational impact, and a path to implementation.

Third place Smart Trade Challenge award
01 · Academic performance3.75 / 4.00 GPA

Consistent performance throughout the Master in Business Analytics and Data Science.

02 · Professional trustSeveral clients & teams

Freelance analytics and data work delivered across different needs while respecting confidentiality.

03 · AdaptabilityDifferent environments

Experience across client work, internship teams, operations, academic projects, and collaborative challenges.

04 · CommunicationPublic speaking & data storytelling

Trained to present analytical findings clearly, adapt the message to the audience, and support decisions with structured evidence.

Master in BusinessAnalytics and Data Science

Université Internationale de Rabat · 2024 to June 2026 · GPA 3.75 / 4.00

Selected coursework

Research Methodology & Statistics · Data Visualization & Communication · Data Modelling · Data Warehousing for BI · Programming with Python · Multivariate Analytics · AI & Business Applications · Data Governance · Decision Optimization

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