Mr. Shafeeq Ur Rahaman | Data Analytics | Best Researcher Award

Associate Director Analytics at Monks San Francisco, United States

Mr. Shafeeq Ur Rahaman is an accomplished researcher and analytics leader with extensive expertise in data analytics, cloud solutions, and digital transformation. He has a strong record of publishing research in high-impact journals and has ongoing work in areas such as predictive modeling, financial market forecasting, and sustainable supply chain management. His innovative contributions include patents and advanced frameworks that improve operational efficiency and decision-making. Beyond technical expertise, he has demonstrated thought leadership as a keynote speaker and conference presenter, mentoring teams and fostering cross-functional collaboration. Mr. Rahaman has received multiple prestigious awards for innovation and performance, reflecting his commitment to excellence. With a combination of scholarly rigor, practical impact, and leadership in both research and industry, he consistently advances the frontiers of analytics, creating meaningful contributions that influence both academic and professional communities.

Professional Profile

Scopus Profile | ORCID Profile

Education

Mr. Shafeeq Ur Rahaman holds a Master of Science in Management Information Systems, building a strong foundation in both technology and business intelligence. His academic journey began with a Bachelor of Engineering in Electrical and Electronics Engineering, which provided him with rigorous analytical and problem-solving skills. Throughout his education, he complemented his degrees with specialized graduate certificates in Business Intelligence, Business Process Management, and Project Management, demonstrating a commitment to continuous learning and practical application of knowledge. His scholastic achievements were recognized through honors such as Beta Gamma Sigma, highlighting academic excellence. This educational background equips him with a unique blend of technical expertise, strategic insight, and research acumen, enabling him to navigate complex data-driven challenges and drive innovation across multiple domains, including analytics, finance, and supply chain management.

Experience

With over a decade of professional experience, Mr. Rahaman has led analytics and digital transformation initiatives for global enterprises. As an Associate Director in Analytics, he has driven scalable solutions in cloud computing, automation, and advanced data modeling, delivering measurable business impact. His experience spans managing high-budget campaigns, optimizing workflows, and implementing capacity models that enhance team productivity and strategic outcomes. Mr. Rahaman has collaborated with cross-functional teams across finance, marketing, and operations, aligning data strategies with organizational objectives. Beyond industry application, he has demonstrated leadership in mentoring teams, redefining analytics frameworks, and fostering innovation. His professional journey reflects a balance of technical expertise, strategic vision, and leadership, positioning him as an influential figure capable of bridging research insights with real-world business solutions.

Research Focus

Mr. Rahaman’s research focuses on advanced analytics, predictive modeling, econometrics, and machine learning applications in finance, supply chain, and sustainability. His work encompasses forecasting financial market volatility, quantifying uncertainty in economic policies, and applying IoT for sustainable energy management. He explores novel approaches such as CNN-LSTM networks, dynamic neuroplastic models, and non-linear econometric frameworks to address complex decision-making challenges. By integrating data-driven methods with practical applications, his research delivers actionable insights that enhance operational efficiency and strategic planning. He has published numerous research papers in high-impact journals and continues to contribute cutting-edge studies under peer review. His focus on both theoretical rigor and practical relevance positions him as a thought leader capable of advancing knowledge while creating measurable real-world impact.

Award and Honor

Mr. Rahaman has received multiple prestigious awards recognizing his innovation, leadership, and research excellence. His accolades include Gold, Silver, and Platinum awards from global digital and innovation competitions, reflecting outstanding performance in analytics and technological advancement. He has also earned the “On Fire” award twice, highlighting exceptional contribution to team success. Beyond accolades, he holds fellowships and senior memberships in esteemed professional societies such as IEEE, RSA, INNS, and Sigma Xi, affirming his recognition within the global research and engineering community. His patents in AI, machine learning, and business analytics further underscore his originality and impact. Collectively, these honors demonstrate both his academic distinction and industry influence, positioning him as a highly respected figure in the domains of analytics, research, and innovation.

Publication Top Notes

Title: Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning
Authors: Shafeeq Ur Rahaman
Year: 2025

Title: Quantifying Uncertainty in Economic Policy Predictions: A Bayesian & Monte Carlo Based Data-Driven Approach
Authors: Shafeeq Ur Rahaman, Mahe Jabeen Abdul
Year: 2025

Title: Forecasting Cryptocurrency Markets: Predictive Modelling Using Statistical and Machine Learning Approaches
Authors: Shafeeq Ur Rahaman, Patchipulusu Sudheer, Mahe Jabeen Abdul
Year: 2024

Title: Real-Time Customer Journey Mapping: Combining AI and Big Data for Precision Marketing
Authors: Shafeeq Ur Rahaman
Year: 2024

Title: The Rise of Explainable AI in Data Analytics: Making Complex Models Transparent for Business Insights
Authors: Shafeeq Ur Rahaman
Year: 2024

Title: Real-Time Campaign Optimization: Using Analytics to Adapt Marketing Strategies on the Fly
Authors: Shafeeq Ur Rahaman
Year: 2023

Title: AI-Driven Empathy in UX Design: Enhancing Personalization and User Experience Through Predictive Analytics
Authors: Shafeeq Ur Rahaman
Year: 2023

Title: Precision Healthcare Meets DevOps: Secure Data Science Pipelines for Scalable Machine Learning
Authors: Rishitha Kokku, Shafeeq Ur Rahaman
Year: 2023

Title: An Explainable AI Model in Fintech Risk Management in Small and Medium Companies
Authors: Shafeeq Ur Rahaman
Year: 2023

Title: Explainable AI and Interpretable Machine Learning in Financial Industry Banking
Authors: Shafeeq Ur Rahaman
Year: 2023

Conclusion

Mr. Shafeeq Ur Rahaman exemplifies a rare combination of research excellence, technical expertise, and practical impact. His extensive publication record, spanning high-impact journals and diverse domains such as financial analytics, predictive modeling, AI, and sustainable technologies, reflects both innovation and scholarly rigor. Beyond research, his patents, leadership in conferences, and contributions to industry-scale analytics demonstrate the tangible application of his knowledge to real-world challenges. His mentorship, collaboration across domains, and recognition through prestigious awards and professional fellowships further highlight his influence in both academic and professional communities. Collectively, these accomplishments establish him as a thought leader whose work advances knowledge, drives innovation, and shapes future directions in analytics, AI, and computational research. He is clearly a strong candidate for recognition as a Best Researcher, with a proven track record of impactful contributions and continued potential for transformative work.

Mr. Shailendra Kumar | Mathematical Modelling | Best Researcher Award

Assistant Professor, Kutir Post Graduate College Chakkey Jaunpur, India

📘 Shailendra Kumar is an Assistant Professor in the Department of Mathematics at Kutir P. G. College, Chakkey, Jaunpur. With a deep commitment to education and research, Shailendra is currently pursuing his Ph.D. in Mathematics at the University of Allahabad. His academic journey is marked by a strong focus on mathematical modeling, which he applies to address complex environmental issues.

Profile

Google Scholar

Analysis for “Best Researcher Award” – Shailendra Kumar

Strengths for the Award:

Shailendra Kumar has demonstrated a strong academic background in Mathematics, having completed his postgraduate studies and currently pursuing a Ph.D. at a reputable institution, the University of Allahabad. His commitment to research is evident through his position as an Assistant Professor at Kutir Post Graduate College. Notably, he has published a research paper in the “International mper Journal of Modelling and Simulation,” focusing on the effects of energy sectors on carbon dioxide emissions and environmental temperature. This publication, indexed in ESCI, indicates his capability to contribute to his field. His research interest in mathematical modeling aligns with current global concerns about climate change, showcasing his ability to apply mathematical concepts to real-world problems.

Areas for Improvement:

While Shailendra Kumar has a solid academic foundation, his research portfolio could benefit from more diversification and depth. He currently lacks completed or ongoing research projects, consultancy or industry projects, books, patents, and professional memberships, which could enhance his professional profile and impact. Additionally, his publication record is limited to one journal indexed in ESCI, with no SCI or Scopus publications listed. Expanding his research outputs, gaining editorial experience, and collaborating with other researchers or institutions could further strengthen his candidacy for the “Best Researcher Award.”

Education:

🎓 Shailendra Kumar completed his postgraduate studies in Mathematics from the University of Allahabad in 2017. He is presently enrolled as a Ph.D. scholar at the same university, where he continues to expand his expertise and contribute to the field of mathematics.

Experience:

👨‍🏫 As an Assistant Professor at Kutir Post Graduate College, Shailendra Kumar brings his passion for mathematics to the classroom, inspiring students to explore and understand complex mathematical concepts. His role involves not only teaching but also mentoring students in their academic pursuits.

Research Interest:

🔍 Shailendra’s primary area of research is mathematical modeling. His work focuses on developing models that analyze the impacts of various factors, such as energy sectors, on environmental issues like carbon dioxide emissions and climate change. This research is crucial in providing insights into sustainable practices and policies.

Publications:

📝 Shailendra has recently published a research paper titled “Effects of Energy Sectors on the Emission of Carbon Dioxide Gas and Environmental Temperature” in the International Mper Journal of Modelling and Simulation (2024). DOI: 10.1080/02286203.2024.2389010. This work is indexed in ESCI and contributes to the understanding of environmental impacts related to energy production and usage.

Conclusion:

Shailendra Kumar has made commendable strides in his academic and research journey, particularly with his recent publication on environmental issues. However, to be a stronger contender for the “Best Researcher Award,” he would need to expand his research activities and collaborations and build a more robust portfolio of publications and professional contributions. With focused efforts on these areas, he could significantly enhance his research impact and standing in the academic community.