About
Shariful Haque is a seasoned Data Analyst, researcher, and technology leader with over a decade of experience driving data-driven transformation across IT, telecommunications, and financial services. He is currently pursuing a Doctorate of Business Administration in Business Analytics in Los Angeles while combining academic research with real-world leadership. His expertise spans data analytics, artificial intelligence, machine learning, fintech, blockchain, and strategic decision-making, positioning him as a bridge between advanced analytics and executive business strategy.
Throughout his career, Shariful has held senior executive roles, including Chief Operating Officer and Chief Data & AI Officer at Tech Wania, where he led large-scale digital transformation initiatives. In this dual role, he optimized operations, reduced service delivery costs, launched AI-powered products, and built the organization’s first centralized Data and AI division. His leadership resulted in measurable improvements in efficiency, revenue growth, and ethical data governance, while also mentoring and developing multidisciplinary teams.
Previously, Shariful served in key leadership positions at TDK Telecom, Amara Networks, and Green Delta Financial Services, where he specialized in data governance, predictive analytics, competitive intelligence, and enterprise data strategy. He successfully designed governance frameworks, improved regulatory compliance, reduced data redundancy, and implemented predictive models that enhanced customer retention and operational performance. His ability to translate complex data insights into actionable business outcomes has consistently supported executive-level decision-making.
In addition to his professional work, Shariful is an active academic researcher, IEEE member, PMP-certified project manager, and award-winning presenter. He has published multiple peer-reviewed papers in AI, business analytics, and digital transformation, and is currently working on a book focused on practical analytics for project managers. With registered design patents, advisory board memberships, and global recognition for data-driven leadership, he continues to contribute to innovation, research, and capacity building on an international scale.
Areas of Expertise:
- Data Analytics & Statistical Analysis
- AI, Machine Learning & MLOps
- Blockchain & FinTech
- ERP & Digital Transformation
- Academic Research & Peer Review
- Data Governance & Strategy
- Project Management & Leadership
- Retrieval-augmented generation (RAG)
Professional Experience
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
Focus on Enterprise Systems & Blockchain Integration
Graduated with Distinction
Skills
Research & Publications
My contributions to the academic community.
For my complete research profile, please visit:
Projects & Patents
A selection of my work. See what I've been building.
Awards & Recognitions
Honored for my contributions and achievements.
Conference: Global Recognition Award 2025, 2025
Honoring Exceptional Contributions to Data-Driven Technology Leadership
Shariful Haque has been honored with a **2025 Global Recognition Awa...
Books
A collection of my authored works and recommended reading.
by Shariful Haque
Data Meets Decisions
A Project Manager’s Guide to Analytics with Real-Life Stories
[**Vis...
by Shariful Haque
Decoding Fintech
by Shariful Haque
The financial world is undergoing a seismic shift. The e...
From the Blog
Check out my latest articles and insights.
Predictive analytics is one of the pillars of the development of data-based project management that should provide a logical method of predicting the future consequences based on the behavioral tendencies of the past. It is fundamentally based on applying statistical algorithms and machine learning to predict the probability of occurrence of future events, which will provide managers with an opportunity to make an informed decision making it possible not to rely only on experience or guessing. Applying this to projects, this can be viewed as the prediction of delays, budget overruns or resource bottlenecks that can be prevented before they become problems.
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.
The business challenge of managing supply chains amid financial market volatility The solution of unified predictive frameworks that integrate logistics and finance Core components needed for successful implementation Tangible benefits organizations can expect Real-world applications across industries Implementation challenges to consider Future technological developments
Get In Touch
Feel free to reach out for collaborations, speaking engagements, or any inquiries.