About
Shariful Haque is a seasoned technology executive, researcher, and innovator with a distinguished career at the intersection of Artificial Intelligence, data analytics, and strategic business operations. He has demonstrated consistent success in driving digital transformation, optimizing enterprise-level performance, and fostering organizational agility through data-driven leadership.
As an independent researcher and technology strategist, he bridges the gap between complex technical implementation and executive-level business objectives. His work is characterized by a commitment to ethical AI governance, the modernization of data ecosystems, and the development of scalable, revenue-generating technology products.
Areas of Expertise
- Data Strategy & Analytics
- AI & Machine Learning
- Blockchain & Emerging Tech
- Operational Leadership & Management
- Predictive Analytics & Innovation
Professional Experience
Collaborating, leading, and executing analytics projects end-to-end. Translate complex business requirements into a roadmap with key milestones and deliverables, aptitude in the key steps of analysis: requirement gathering, data acquisition, advanced analysis, presenting recommendations, implementing solutions and, partner with cross-functional teams.
Served in a dual executive capacity, driving overall operational excellence while simultaneously spearheading the company's digital transformation via Data and Artificial Intelligence strategy. Accountable for P&L management, optimizing core IT service delivery, and ensuring the successful monetization and ethical governance of data assets. Led cross-functional teams focused on product innovation, system modernization, and organizational restructuring for agility.
Directed the enterprise Data Governance function, responsible for developing and enforcing policies, standards, and processes to ensure data quality, privacy, integrity, and regulatory compliance across all telecommunication systems and customer data platforms. Managed data stewardship initiatives and collaborated with legal, IT, and security teams to mitigate data risk.
Bridged the gap between C-level strategic objectives and data technology execution. Developed a long-term data strategy roadmap focused on leveraging network traffic data, customer usage patterns, and IoT data streams to improve network infrastructure and service offerings. Managed the budget and deployment of data modernization projects.
Led the specialized analytics unit focused on gathering, processing, and analyzing competitive market data, pricing strategies, and product performance metrics within the financial services sector. Provided actionable intelligence to the executive team to inform strategic pricing, product design, and market entry decisions.
Education
Skills
Research & Publications
My contributions to the academic community.
The exponential growth of digital communications, driven by cloud computing, IoT, 5G, and edge technologies, has significantly expanded the cyber-security threat landscape. Traditional rule-based defense mechanisms are increasingly inadequate against sophisticated attacks such as advanced persistent threats (APTs), and polymorphic malware. In response, machine learning (ML) and artificial intelligence (AI) have emerged as transformative tools for enhancing cyber-security frameworks, enabling adaptive data protection and real-time threat intelligence integration. Research Objective: This study aims to design and evaluate an intelligent cybersecurity framework that leverages machine learning techniques to improve data protection and integrate threat intelligence for securing modern digital communications. Research Methods: A review-based methodology was employed, synthesizing literature published between 2012 and 2024. Sources included peer-reviewed journals, government publications (eg, NIST, CISA), and industry reports. The study applied systematic search strategies using academic databases and threat intelligence platforms. Conclusion:
Autism Spectrum Disorder (ASD) impacts millions worldwide, posing distinct obstacles in schooling, communication, and access to therapy. Conventional educational and therapeutic approaches, while sometimes helpful, frequently lack the adaptability and customization necessary to meet the varied needs of kids with ASD. This research tackles existing gaps by integrating advanced Artificial Intelligence (AI) techniques and data-driven personalization in digital health systems. This study presents a novel, AIdriven adaptive learning and treatment system specifically developed for kids with autism spectrum disorder (ASD). This research assesses the efficacy of AI-driven personalization in improving learning outcomes, communication skills, and therapeutic accessibility through the utilization of simulated experimental data. Adaptive machine learning algorithms, natural language processing, and reinforcement learning techniques were incorporated into digital platforms, resulting in tailored intervention models that dynamically adjust to the cognitive and communicative profiles of each learner. Results from the simulated experiments demonstrate substantial enhancements in tailored adaptive learning pathways, quantifiable progress in communication skills, and heightened therapeutic accessibility and engagement compared to conventional methods. The performance assessment of AI models reveals strong accuracy, responsiveness, and efficiency in customizing instructional and therapeutic content to meet individual learner requirements. This research enhances previous work by providing empirical insights and practical consequences, demonstrating how AI-driven devices can substantially improve educational experiences and treatment outcomes for kids with ASD. Future directions encompass empirical testing, ongoing enhancement of AI models, and additional investigation into scalable application options within educational and healthcare contexts.
The epidemiology of diabetes in the United States is an acute topic of concern in community health and the economy that has some constraints in infrastructure such as the absence of specialists, ineffective glycemic control. A special opportunity, the introduction of Artificial Intelligence (AI) and Machine Learning (ML) into digital health will allow transferring the process of care delivery to the more proactive and personalized intervention and decrease the constantly increasing healthcare expenditures.
Throughout the last couple of years, Artificial Intelligence (AI) has come under consideration as a revolutionizer of numerous sectors in which the non-profit sector is involved is not an exception. AI intervention can be applied to the non-profit techniques in a way that this paper seeks to explain the extent of the success that can be realized. It discusses AI’s role in the non-profit organizations and pinpoints technologies like data analysis, AI-based fundraising solutions, program assessment, and chatbots to engage the donors. The paper also reviews general issues associated with the application of AI solutions including inadequate funds, dearth of specialists in AI and data privacy issues, and come up with measures to mitigate these challenges. It also elaborates on the evaluation indicators of the degree of AI impact in non-profits such as, efficiency increment indicators, fundraising indicators, changes in the programs, and indicators of stakeholders. The conclusions are that it is possible to achieve the positive impact on the function of distinctive non-profit organizations through the successful application of AI.
Projects & Patents
A selection of my work. See what I've been building.
Awards & Recognitions
Honored for my contributions and achievements.
Blockchain Council, 2026
Certification Acknowledgment
This is to acknowledge that Shariful Haque has successfully completed all requirements and criteria for the **Ce...
EAMCON, 2026
Certificate of Achievement
This certificate is proudly awarded to Shariful Haque in recognition of receiving the **Tech Futurist Leadership A...
Global Recognition Award 2025, 2025
Shariful Haque has been honored with a 2025 Global Recognition Award for his exceptional contributions to data-driven technology leadership and digita...
IEEE, 2025
Certificate of IEEE Membership
This certificate recognizes Shariful Haque as an IEEE Senior Member in good standing, reflecting a persona...
Project Management Institute, 2025
PMI Certified Member
This is to certify that Shariful Haque is a member of the Project Management Institute, the world’s leading associat...
News & Press
Media mentions, interviews, and articles.
THE ARYAVARTH EXPRESS
EAMCON 2026 Concludes with Resounding Success at Shinawatra University, Thailand International TechXcellence Leadership Awards Honour Global Leaders in Innovation Bangkok, Thailand — The EAMCON 2026 conference wrapped up with resounding success at Shinawatra University, bringing together visionaries, researchers, and industry pioneers from across the globe. The event served as a premier platform for exchanging groundbreaking ideas and fostering collaborations that will shape the future of technology and leadership. Highlights of the Event Venue: Shinawatra University, Thailand Focus: Emerging technologies, innovation, and transformative leadership Key Feature: International TechXcellence Leadership Awards ceremony International TechXcellence Leadership Awards A centerpiece of EAMCON 2026 was the prestigious International TechXcellence Leadership Awards, which recognized and celebrated outstanding global leaders driving innovation across diverse fields. The awards honoured individuals and organizations whose remarkable contributions have made a significant impact on the technological landscape. "These awards are a testament to the extraordinary dedication and vision of leaders who are not just adapting to the future, but actively creating it." Looking Ahead The success of EAMCON 2026 reaffirms its position as a landmark event in the international conference calendar. With its blend of insightful discourse, networking opportunities, and recognition of excellence, the conference continues to inspire the next generation of tech leaders and innovators.
MSN
Shariful Haque is a leader in data analysis and his work includes intelligence making sure data is good and safe and predicting what will happen in the future. He has worked in banking, telecommunications and big technology companies. His career shows how companies are using data more and more to make decisions.
SCI-TECH
As artificial intelligence reshapes economies and industries worldwide, Shariful Haque is positioning himself at the forefront of academic research exploring how AI and business analytics are driving a new era of intelligent decision-making and organizational transformation. A data analyst, researcher, and doctoral scholar based in Los Angeles, Haque is currently pursuing a PhD alongside a Doctorate of Business Administration in Business Analytics, an ambitious academic path that reflects his commitment to both theoretical advancement and applied research.
Applied Technology News
Haque’s academic background includes an MBA in Finance and Business Analytics and extensive training in data science, predictive modeling, and statistical research. His work examines AI-driven decision systems, intelligent automation, fintech innovation, digital transformation, and data-centric organizational strategy.
American Tech Today
The AI revolution is not only technological. It is reshaping how organizations make decisions, design systems, and create value across industries.”— Shariful Haque
Global Tech Times
A data analyst, researcher, and doctoral scholar based in Los Angeles, Haque is currently pursuing a PhD alongside a Doctorate of Business Administration in Business Analytics, an ambitious academic path that reflects his commitment to both theoretical advancement and applied research. His doctoral research focuses on how artificial intelligence and business analytics are bringing a revolution across industries, redefining how organizations operate, compete, and innovate.
The California Stem Reporter
Shariful Haq’s professional background reflects this intersection of data systems and operational coordination. His work has involved engagement with data-driven environments where information accuracy, documentation standards, and system integration are essential to daily operations. The article outlines how such responsibilities support internal reporting, performance monitoring, and process continuity.
Global Tech Reporter
Haque’s academic background includes an MBA in Finance and Business Analytics and extensive training in data science, predictive modeling, and statistical research. His work examines AI-driven decision systems, intelligent automation, fintech innovation, digital transformation, and data-centric organizational strategy.
International Tech Times
The feature article describes how modern organizations increasingly rely on accurate data handling and operational alignment to manage complex business processes. Within this context, professionals with experience spanning analytics, reporting systems, and cross-functional collaboration play an important role in maintaining clarity and consistency across operations.
TechBullion
In an era where data drives strategic decisions, maintaining the accuracy and integrity of financial information is paramount. Traditional centralized systems often struggle with delays, human error, and susceptibility to manipulation. This is where blockchain technology, a decentralized ledger system, enters the conversation. By redefining how data is recorded, verified, and shared, blockchain promises to transform business intelligence, particularly in the financial sector.
Books
A collection of my authored works and recommended reading.
From the Blog
Check out my latest articles and insights.
Get In Touch
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