Prof. Faraz Zaidi

Data Scientist & Academic Expert in AI and Machine Learning

location_on Canada

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Data Scientist Machine Learning Expert Academic Scholar Industry Expert Mentor

Text Mining & Analytics Machine Learning SQL Data Science Artificial Intelligence Data Mining Business Analytics Oracle Algorithm Design Social Network Analysis

Verification record

Doctorate confirmed

Doctorate · University of Bordeaux I, Bordeaux, France

Affiliation confirmed

Manager People Analytics · Region of Peel, ON, Canada

Publication record confirmed

40 published works

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About Faraz

Faraz Zaidi is a seasoned data scientist and academic expert specializing in AI, machine learning, and social network analysis. With extensive experience in both academic and professional sectors, he has led data-driven projects impacting HR analytics, healthcare, and retail industries. As a mentor, Faraz aims to empower others with practical and theoretical insights, drawn from years of teaching and recognized research, including over 40 published articles. His contributions to the field have been acknowledged through keynote speaking roles and leadership positions at top conferences.

Services Offered

Data & AI

Harness the power of data and artificial intelligence to solve complex problems and enhance decision-making. Our data-driven solutions include predictive analytics, machine learning, and AI development to help you unlock new opportunities, optimize operations, and gain a competitive edge.

Data Mining

Discovery of hidden patterns, relationships, and anomalies in large datasets using advanced algorithms and statistical techniques.

Research

Gain insights and make informed decisions with our expert research services. We offer in-depth market research, data analysis, and academic studies to support your strategic goals. Whether you're exploring trends, evaluating competitors, or understanding customer needs, we provide the knowledge you need to move forward.

Algorithm Design – ML (Machine Learning)

Development of intelligent algorithms that learn from data, including classification, regression, recommendation systems, and more.

Text Mining & Analytics

Extraction of insights from unstructured text data using NLP techniques like sentiment analysis, topic modeling, and keyword extraction.

Expertise

check_circle Text Mining & Analytics

check_circle Machine Learning

check_circle SQL

check_circle Data Science

check_circle Artificial Intelligence

check_circle Data Mining

check_circle Business Analytics

check_circle Oracle

check_circle Algorithm Design

check_circle Social Network Analysis

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Profile Details

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Member since

2026
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Location

Canada
language

Languages

English, French
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Availability

Available
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Hourly rate

$100

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Prof. Faraz Zaidi

About Faraz

Services Offered

Data & AI

Data Mining

Research

Algorithm Design – ML (Machine Learning)

Text Mining & Analytics

Expertise

Professional Summary

Work History

Manager People Analytics

Advisor Health Analytics

Data Science Society Patron

Position Not Clearly Defined

Evaluator

Data Scientist (Consultant)

Advisor Health Analytics

Data Analyst

Assistant Professor

Education Summary

Education History

Doctorate

Management Program

Master's Program

Bachelor's Program

Bachelor's Program

Publications Summary

Published Works

IMine: A Customizable Framework for Influence Mining in Complex Networks

The Role of Multinational Firms and the Economic Self-Reliance of the North American Region: Evidence from Analyzing Data from the Past Decade

Economic hubs and the domination of inter-regional ties in world city networks

World City Networks and Multinational Firms: An Analysis of Economic Ties Over a Decade

Influence maximization in complex networks through supervised machine learning

Benchmarking the influential nodes in complex networks

Analyzing diversity, strength, and centrality of cities using networks of multinational firms

Model to generate benchmark graphs based on evolution dynamics

The Multipolar Regionalization of Cities in Multinational Firms' Networks

Topology of Complex Networks and Performance Limitations of Community Detection Algorithms

Layer-Centered Approach for Multigraphs Visualization

Social Ties, Homophily, and Extraversion-Introversion to Generate Complex Networks

A Graph-based Method to Detect Rare Events: An Application to Identify Pathologic Cells

Analysis and Visualization of Dynamic Networks

Analysis and Visualization of Dynamic Networks, Encyclopedia of Social Network Analysis and Mining

Generating online social networks based on socio-demographic attributes

Empirical Analysis of Seed Selection Criterion in Influence Mining for Different Classes of Networks

Model for generating artificial social networks having community structures with small-world and scale-free properties

Resilience of Social Networks under Different Attack Strategies

Small World Networks and Clustered Small World Networks with Random Connectivity

Tunable and Growing Network Generation Model with Community Structures

Demographic and Structural Characteristics to Rationalize Link Formation in Online Social Networks

Are All Social Networks Structurally Similar?

Fuzzy Clustering and Visualization of Information for Web Search Results

Maritime constellations: a complex network approach to shipping and ports

Topological Decomposition and Heuristics for High-Speed Clustering of Complex Networks

Communities and Hierarchical Structures in Dynamic Social Networks: Analysis and Visualization

Interactive Searching and Visualization of Patterns in Attributed Graphs

Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths

Ports in multi-level maritime networks: Evidence from the Atlantic (1996-2006)

Organization of Information for the Web using Hierarchical Fuzzy Clustering Algorithm based on Co-Occurrence Networks

Identifying the Presence of Communities in Complex Networks Through Topological Decomposition and Component Densities

Interactive Visualization and Navigation of Web Search Results Revealing Community Structures and Bridges

Revealing Hidden Community Structures and Identifying Bridges in Complex Networks: An Application to Analyzing Contents of Web Pages for Browsing

Detecting Structural Changes and Command Hierarchies in Dynamic Social Networks

Solving the Traffic and Flitter Challenges with Tulip

VAST 2008 Challenge: Social network dynamics using cell phone call patterns

Identification and Realization of Trace Relationships within Requirements

A Study of Search Enhancements and Relevant Strategies

Semantic based classification of search enhancements

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