Leading the comprehensive Data, Analytics & AI services, I oversee end-to-end responsibilities for business development, NCR strategy, partnerships, and client engagements. Collaborating closely with client executives, I instill a deep appreciation for data's value, harness AI potential, and enhance business outcomes.

Guiding initiatives from strategy to solution delivery, I spearhead innovations to optimize workflows, aligning with short to long-term strategic objectives, with Data & AI, including Generative AI, as foundational elements.

Accountable for leveraging reusable AI/ML and Analytics capabilities, I tailor them for high-value business cases and strategic verticals. Leading co-innovations in Applied AI through the CGI Innovation Centre and the Government of Canada Scale AI program, I am part of the Analytics Canada Council, overseeing CGI’s Centre of Excellence for Data & AI.

Establishing an innovative culture, I lead a high-performance team embracing exploration and continuous learning of technologies.

Cultivating a global AI community across the organization.

Key Achievements:
• Received the Business Impact Award from the CGI executive team.
• Drove substantial sales growth and cost savings for CGI's global clients, leveraging emerging technologies and digital solutions.
• Expanded on-shore and off-shore teams, implementing training programs, and partnering with leading Clouds, Data & AI vendors.
• Collaborated on the CGI Ambassador program, boosting CGI’s brand in Data, AI, and Digital.
• Industrialized applied AI solutions for Governmental, Transportation, Health, and Banking sectors.

Director, AI & Big Data

Senior Consultant

Groupe Dynamite

Recommendation Engine
Markdown Price Optimization
Amazon Web Service (AWS)
Demand Modeling

Senior Data Scientist

Encore Corporate Travel

Machine Learning, predictive analytics, airfare modeling, demand modeling, cloud computing (Python, Keras, TensorFlow, scikit-learn, spark, SPSS, Google Colab)
Business Intelligence (BI) products (IBM Cognos, SQL, Tableau)

Data Scientist (Machine Learning)

Predictive Analysis
Machine Learning
IBM SPSS, Statistics & Modeler
IBM Cognos
SPSS
Python
Customer Behavior Modelling
Quantitative Marketing

Data Scientist

Innovative Data Solutions

Freelance

AviaSent (startup)

•	Social media natural language processing (deep learning) 
•	Advanced statistics, data mining, machine learning (Python, SPSS, SAS)
•	Airline Marketing

Chief Intelligence Officer

Concordia University

Accomplishments 
• Project Management and Leadership: Supervising 6 analysts (5 projects)
• Aviation market: Customer analytics, data analysis, loyalty program, segmentation, business intelligence, marketing strategy, CRM. The product received much interest from airlines, including Air Canada, Air Transat, West Jet and Scandinavian Airline 
• Transportation and new technologies market: consumers preferences toward autonomous vehicles and Ultra-Low-Emission Vehicles.  
• Housing market: Analyzing and predicting consumer behavior, dealing with a large data-set, including information for 5 million Canadian households over 15 years. The final report received a great deal of provincial, national and international media attention when it was published in October of 2014, including 6 radio interview. 
• Mobile data collection: Using new technology for data gathering  
• Experimental Design, survey design, and data collection (3 projects) 
• Real estate: Visual survey on housing and neighborhood choice
• Data Mining & Exploration: Detecting inconsistencies in customer choice behavior. This project received interest from institutions at international level and resulted in working with Prof. Michel Bierlaire at EPFL (Switzerland), Prof. Ricardo Darienzo of Cornell University (US), Prof. Kay Axhausen of (Switzerland), Caspar Chorus of TU Delft (Netherland) and John Rose of the University of South Australia. 
 
Skills Used 
• Statistical and Econometric models: Logistic regression, linear regression, decision trees, time series analysis, ANOVA 
• Data mining and Machine learning: Clustering, dominance-based rough set approach, decision tree 
• Experimental Design: Design of choice experiments 
• Business intelligence 
• Visualization 
• Scripting and Programming: Python, Visual Basic, Pascal, and R 
• Statistical software: R, SAS, SPSS, STATA, LIMDEP, HQL/SQL

Data Scientist, Behavioral Analytics

The University of Sydney Business School

Responsibilities 
• Statistical analysis 
• Costumer behavior modelling 
• Estimating willingness to pay 
• Loyalty marketing 
 
Accomplishments 
• Estimating passengers' willingness to pay for enjoying better services 
• Making a better pricing strategy and revenue management policy in the airline industry. 
• Improving airlines loyalty program 
 
Skills Used 
• Survey design 
• Data analysis using statistical software: STATA, Nlogit, Limdep

Visiting Scholar (Statistician)

IranAir

Responsibilities 
• Airline Revenue Management 
• Flight/crew scheduling
• Fare optimization and pricing
• Business Intelligence 
• Quantitative Market Research 
• Interline Agreements 
• Survey Design & Data Collection 
• Network management 
 
Accomplishments 
• Supervising a group of 3 analysts 
• Improving pricing strategies 
• Teaching “Quantitative Marketing” Course 
• Survey Design & Data Collection at international airports 
 
Skills Used 
• Business Intelligence 
• Visualization 
• Advanced statistical & econometric methods 
• Statistical software: STATA, SPSS, Nlogit, Limdep

Commercial Analyst

PhD focusing on customer behavior modeling, Machine Learning (ML) and big data.
Over 10 years of data science experience in aviation, service, transportation industry and housing market
Over 60 articles, technical reports published in international journals focusing on data science
Team Motivation, Influencer Marketing, Strategic Leadership

•	Languages: English, French 


- Machine Learning                         - Advanced Statistics & Econometric                                       
- Big Data                                                              - Choice Behavioral Modeling
- Cloud computing                                      - Airline Revenue Management
- Pricing                                             - Customer Satisfaction
- Data Visualization

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