Dip Patel | Data Analyst | Global Data Innovation Recognition Award

Published on by Research Data Analysis

Mr. Dip Patel | Data Analyst | Global Data Innovation Recognition Award

Vira Design LLC | United States

PUBLICATION PROFILE

Google Scholar

INTRODUCTION 🌟

Mr. Dip Patel is a passionate and detail-oriented IT professional with a strong background in both civil engineering and information technology. With a natural flair for problem-solving and a zero-tolerance attitude toward errors, Dip is committed to delivering precise and innovative solutions in every role he undertakes. Currently based in Ashburn, Virginia, he brings creativity, dedication, and a deep desire to showcase his technical skills and knowledge in real-world applications.

EARLY ACADEMIC PURSUITS 🎓

Dip began his academic journey in civil engineering, earning a Bachelor of Engineering degree from Government Engineering College, Modasa, where he studied from May 2013 to May 2017. His strong technical foundation and analytical mindset led him to pursue a different path aligned with his growing interest in the digital world. He later obtained a Master of Science in Information Technology from the University of North America, Fairfax, VA, graduating in September 2022. This educational transition marked a pivotal point in his career, equipping him with cross-disciplinary knowledge in both structural systems and digital infrastructure.

PROFESSIONAL ENDEAVORS đź’Ľ

Dip has accumulated valuable experience in roles that showcase both his technical and analytical capabilities. Starting as an AWS Data Engineer at Vira Design, LLC in Sterling, VA (Oct 2022 – Apr 2024), he honed his skills in cloud infrastructure and data processing. His career evolved into a series of impactful Data Analyst roles at D3 Services (May – June 2024), Ramji LLC (July 2024 – Feb 2025), and again at Vira Design, LLC (Feb 2025 – Present), where he continues to contribute to intelligent data solutions. Dip’s professional network includes strong references from colleagues and supervisors such as Priyank Vira, Sunil Joshi, and Shital Patel, reflecting his reputation for reliability and innovation in the workplace.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

In addition to his work experience, Dip has demonstrated an active interest in cybersecurity and the intersection of technology with public health. His personal project, “Cyber Security in Health Sector” (June–August 2022), explored data privacy and information protection within healthcare systems, an increasingly critical issue in today’s digital age. Dip’s approach blends technical expertise with a problem-solving mindset, making him well-suited for roles that demand both innovation and strategic thinking.

IMPACT AND INFLUENCE 🌍

Through his various roles in the IT and data analytics sectors, Dip has contributed to enhancing data quality, optimizing systems, and supporting informed decision-making. His work has helped businesses streamline operations, secure sensitive information, and utilize data for strategic growth. Dip’s cross-disciplinary education and multicultural fluency (English, Gujarati, and Hindi) allow him to connect and collaborate across diverse teams and industries, making him a valuable asset in the global workforce.

ACADEMIC CITATIONS AND PUBLICATIONS đź“š

While Dip has not yet published formal academic research or citations, his Cyber Security in Health Sector project stands as a testament to his independent research capability and interest in real-world technical challenges. His academic journey suggests a potential for future contributions to white papers, technical blogs, or case studies in data analytics and cybersecurity.

HONORS & AWARDS 🏅

Although formal awards are not listed, Dip has earned recognition through continued trust and re-employment by top firms such as Vira Design, LLC, highlighting his dependable performance and consistent contributions. His growing reputation in the fields of AWS data engineering and analytics demonstrates a career marked by impact and potential.

LEGACY AND FUTURE CONTRIBUTIONS đź”®

Dip Patel is a professional on the rise, with ambitions to continue exploring innovative data technologies and making meaningful contributions in cybersecurity and data science. He aims to further expand his knowledge, take on leadership roles, and drive transformation across industries through data-driven insights and secure technology systems.

FINAL NOTE ✨

Dip Patel represents the new generation of tech-savvy professionals who combine cross-functional expertise with a global perspective. With solid experience in data analytics, cloud engineering, and cybersecurity, paired with a relentless drive for perfection, he is ready to take on new challenges and make a lasting mark in the world of information technology. His journey so far reflects not only technical excellence but also the mindset of a lifelong learner and visionary thinker.

TOP NOTES PUBLICATIONS 📚

Title: Comparative Analysis of Data Visualization Tools: Tableau, Power BI & Looker

    • Authors: DB Patel

    • Journal: The Eastasouth Journal of Information System and Computer Science (ESISCS)

    • Year: 2023

Title: Reinforcement Learning in Dynamic Pricing Models for E-Commerce

    • Authors: DB Patel

    • Journal: The ES Economics And Entrepreneurship (ESEE)

    • Year: 2022

Title: Dynamic vs. Static Visualizations: Understanding Their Use Cases in Big Data Analysis

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2022

Title: Building Scalable Business Intelligence Systems in the Cloud: A Technical Approach

    • Authors: DB Patel

    • Journal: International Journal of Science and Research Archive

    • Year: 2021

Title: Understanding the Impact of Text Analytics on Social Media Sentiment Analysis

    • Authors: DIPB Patel

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Jingteng Liu | Business Analytics | Best Researcher Award

Published on by Research Data Analysis

Mr. Jingteng Liu | Business Analytics | Best Researcher Award

ESADE Business School, Spain

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Mr. Jingteng Liu’s academic journey began at Northwestern Polytechnical University, where he studied Software Engineering. After completing two years, he transferred to Arizona State University (ASU), where he pursued a Bachelor of Science in Computational Mathematical Sciences from 2017 to 2022. Alongside this, he obtained a Certification in Applied Business Data Analytics (2018-2022). During this period, Mr. Liu laid the foundation for his academic success by immersing himself in subjects that bridged computer science, mathematics, and business analytics.

đź’Ľ Professional Endeavors

Mr. Liu’s career has been marked by various leadership roles, with a strong focus on data analysis, machine learning, and business strategy. As Co-Founder of Hans & Associates LLC since May 2017, he formulated and executed comprehensive business strategies that helped transition the start-up into a stable organization. This experience helped him hone his strategic thinking, resource optimization, and market analysis skills. His involvement with Amazon Web Services (AWS) as a Professional Service Intern in 2020 allowed him to work on advanced machine learning models, particularly enhancing predictive analysis and using optimization algorithms. His professional journey has provided him with a wealth of experience, particularly in data-driven decision-making and strategic innovation.

đź“š Contributions and Research Focus

Throughout his academic and professional career, Mr. Liu has contributed significantly to data-driven research. Notably, his research as a Barrett College Fellow at ASU in 2019-2022 focused on understanding consumer behavior and the preferences of hydrogen vehicle owners in California. He applied multinomial logistic regression and null hypothesis significance testing to evaluate the factors influencing gas station choices. Mr. Liu also contributed as a Research Assistant at ASU, co-authoring a published paper on mathematical modeling for cancer treatment responses. His research focus has consistently centered on the intersection of data analytics, machine learning, and their applications in real-world challenges.

🌍 Impact and Influence

Mr. Liu’s diverse experiences in data analytics, machine learning, and business strategy have had a significant impact on both academic and professional fields. His work with Amazon on developing predictive models and enhancing customer trend analysis reflects a deep understanding of how technology can transform business outcomes. Additionally, his entrepreneurial work in founding Hans & Associates and MiStraws demonstrates his ability to leverage data-driven insights for sustainable business growth. His contributions have influenced the development of strategic innovation, particularly in the use of AI to drive market forecasting and customer behavior analysis.

đź“‘ Academic Citations

One of Mr. Liu’s key academic achievements was his co-authorship of a published paper titled “Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients”. The research, published by SIAM Undergraduate Research Online, highlights his ability to apply complex mathematical models in the context of healthcare and medicine, contributing to the field of computational oncology. This paper demonstrates his expertise in applied mathematics and its real-world applications in clinical data analysis.

đź’» Technical Skills

Mr. Liu possesses an extensive range of technical skills that span across programming languages, data analysis tools, and machine learning frameworks. Some of his core skills include proficiency in Python, SQL, and R, as well as expertise in machine learning algorithms and models such as BERT, Amazon Comprehend, and optimization techniques. He is also well-versed in Excel, Tableau, and Power BI, enabling him to deliver actionable insights from large datasets. These technical skills have been pivotal in his roles, particularly in optimizing business processes and enhancing predictive capabilities.

👨‍🏫 Teaching Experience

While Mr. Liu has not held formal teaching positions, his experiences as a research assistant and fellow at ASU have allowed him to contribute significantly to the academic community. His work on data analysis and research methodologies would have provided valuable mentorship to students and colleagues alike. His ability to communicate complex topics like statistical modeling and machine learning reflects his potential to make a meaningful impact in academia as a future educator.

🌟 Legacy and Future Contributions

Looking forward, Mr. Liu’s trajectory indicates his potential to become a key thought leader in the areas of AI-driven business analytics and strategic innovation. His multidisciplinary expertise in data science, machine learning, and business strategy positions him well to drive cutting-edge innovation in industries ranging from technology to healthcare. He envisions contributing to the advancement of AI and analytics solutions, developing models that offer enhanced business intelligence, operational efficiency, and predictive capabilities. His future contributions are poised to leave a lasting legacy, particularly in fostering sustainable business growth through data-driven decision-making and AI optimization.

Top Noted Publications đź“–

  • Hydrogen Fuel Cell Vehicle Adopters Geographically Evaluate a Network of Refueling Stations in California
    • Authors: S Kelley, A Krafft, M Kuby, O Lopez, R Stotts, J Liu
    • Journal: Journal of Transport Geography
    • Year: 2020
  • Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients
    • Authors: J Bennett, X Hu, K Gund, J Liu, A Porter
    • Journal: SIAM Undergraduate Research Online
    • Year: 2021
  • Extreme Heat Effects on Electric Vehicle Energy Utilization and Driving Range
    • Authors: NC Parker, M Kuby, J Liu, EB Stechel
    • Journal: Available at SSRN
    • Year: 2024