Dr. Ahmed Halloub - Business Intelligence Expert | AI Researcher | International Consultant & Educator
Accomplished Business Intelligence expert and AI researcher with a PhD from Stanford University. Founder of Digital Trendz, serving 600+ international clients across 4 countries. Google-sponsored researcher with frameworks integrated into AdSense algorithm.
Expert in digital transformation, data analytics, and machine learning implementation. Led teams of 50+ consultants worldwide, specializing in BI, AI, and digital transformation strategies.
Email: ahmedhalloub17@gmail.com • Phone: +213 554-227-641 / +1 323-503-2960 • Location: Algeria & USA • LinkedIn: linkedin.com/in/ahmedhalloub
PhD in Business Intelligence from Stanford University, MS in Marketing Intelligence from University of California, MA in English Literature from University of Saad Dahlab, Algeria
Founder & CEO of Digital Trendz (Present) - Global consulting firm with offices in 4 countries, served 600+ international businesses. Psychometrics Analysis Researcher at Google - Analyzed 35,000 person sample, framework integrated into AdSense algorithm.
PMP, CFA, CBIP, Lean Six Sigma Black Belt, CISA, AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Microsoft Certified Azure Data Scientist, Tableau Desktop Specialist, Power BI Data Analyst Associate, CAP, SAS Certified Advanced Analytics Professional, CDMP, ITIL Foundation, CSM, CBAP.
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), R (dplyr, ggplot2, caret), SQL (PostgreSQL, MySQL, SQL Server), JavaScript/TypeScript, HTML/CSS. Advanced statistical modeling, machine learning algorithms, deep learning, natural language processing, computer vision.
Power BI (Advanced DAX, Power Query, Data Modeling), Tableau (Calculated Fields, Parameters, Dashboard Design), QlikView/QlikSense, Looker, Sisense. ETL/ELT processes, data warehousing, dimensional modeling, KPI development, interactive dashboards.
AWS (S3, EC2, Lambda, RDS, Redshift, SageMaker), Azure (Data Factory, Synapse, ML Studio), Google Cloud (BigQuery, Cloud ML, Dataflow). Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code (Terraform), monitoring and logging.
Strategic Planning, Business Analysis, Project Management (Agile, Waterfall), Change Management, Digital Transformation, Leadership Development, Team Building, Stakeholder Management, Risk Assessment, Process Optimization, ROI Analysis.
Data Architecture Design, Data Governance Frameworks, Data Quality Management, Master Data Management, Data Lineage, Data Security, Privacy Compliance (GDPR, CCPA), Data Cataloging, Metadata Management, Data Integration Patterns.
Machine Learning Model Development, Deep Learning Architectures, Natural Language Processing, Computer Vision, Reinforcement Learning, MLOps, Model Deployment, A/B Testing, Experimental Design, Research Methodology, Academic Publishing.
Google-sponsored PhD research with 35,000+ sample analysis, framework integrated into AdSense algorithm. Led digital transformation initiatives for Fortune 500 companies, achieving 40%+ efficiency improvements. Published 15+ peer-reviewed papers in top-tier journals. Speaker at 50+ international conferences including TEDx, IEEE, and ACM events.
Arabic (Native), English (Fluent - IELTS 8.5), French (Fluent - DELF B2), Spanish (Conversational), German (Basic). Experience conducting business and technical presentations in multiple languages across international markets.
Published in Journal of Business Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM Computing Surveys. Research focuses on psychometrics analysis, machine learning applications in business, and data-driven decision making frameworks.
TEDx speaker, IEEE conferences, ACM symposiums, industry summits. Topics include AI implementation strategies, data governance best practices, digital transformation frameworks, and machine learning applications in business intelligence.
Healthcare, Financial Services, Manufacturing, Retail, Technology, Government, Education. Deep understanding of sector-specific challenges, regulatory requirements, and industry best practices for data-driven transformation.
Agile (Scrum, Kanban), Lean Six Sigma (Black Belt), Waterfall, DevOps, Design Thinking, Rapid Prototyping, MVP Development, Continuous Integration/Continuous Deployment (CI/CD), Test-Driven Development (TDD).
Psychometrics Analysis, Behavioral Analytics, Customer Journey Mapping, Predictive Analytics, Real-time Data Processing, Edge Computing, IoT Data Integration, Blockchain Analytics, Quantum Computing Applications, Ethical AI.
SAP BusinessObjects, IBM Cognos, Oracle Business Intelligence, MicroStrategy, Alteryx, Informatica, Talend, Apache Airflow, Apache Spark, Apache Kafka, Elasticsearch, Grafana, Prometheus.
PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Cassandra, Redis, Elasticsearch, Neo4j, InfluxDB, TimescaleDB, ClickHouse, BigQuery, Redshift, Snowflake, Databricks.
GDPR, CCPA, HIPAA, SOX, PCI DSS, ISO 27001, NIST Framework, Data Privacy Impact Assessments, Security Audits, Risk Management, Vulnerability Assessment, Penetration Testing, Incident Response.