Gaurav Mittal | Data Science and Analytics | Engineering Impact Award

Mr. Gaurav Mittal | Data Science and Analytics | Engineering Impact Award

Manager IT, Independent Skilled Data Volunteer, United States

Gaurav Mittal is a visionary IT Manager and Data Science leader with over 18 years of impactful experience spanning biopharmaceuticals, healthcare, insurance, and fraud detection. His unmatched expertise in machine learning, cloud computing, automation, and security-driven innovation has made him a pioneer in transforming digital ecosystems. Currently serving as Manager IT – Data Science at Thermo Fisher Scientific, he has led mission-critical projects that seamlessly align regulatory compliance with scalable AI solutions. With deep technical proficiency, strategic leadership, and a passion for innovation, Gaurav continues to revolutionize IT operations and deliver real-world business value.

Professional Profile

Google Scholar

Education 

Gaurav earned his Bachelor of Technology in Electronics and Communication Engineering, laying the groundwork for a career in cutting-edge systems development. To strengthen his managerial and strategic capabilities, he completed an MBA in Information Technology (2017–2019). Gaurav is also Sun Certified in Java Programming, holds an AWS Cloud Practitioner certification, and has earned Lean Six Sigma Green and Yellow Belt certifications, showcasing his dedication to continuous improvement and cloud excellence.

Experience

With a robust track record of driving innovation, Gaurav currently works at Thermo Fisher Scientific (2022–Present) as Manager IT – Data Science, where he has spearheaded AI/ML-based tools like GeneAI agents: SecureCodeScan for vulnerability detection and SQLOptimizer for database performance enhancement. His innovations include an AWS-powered secure email transmission utility, saving $40K per quarter, and automation of QA processes that cut down 800 minutes of manual testing, demonstrating his strategic thinking in cost-effective digital transformation.

Research Focus

Gaurav’s core research interests lie at the intersection of AI-driven automation, cloud security, NLP, DevOps optimization, and shift-left testing strategies. His practical AI innovations—ranging from email categorization using NER models to automated defect identification in production—are built on secure and scalable architectures using AWS, Docker, and Kubernetes. A passionate advocate of white-box testing and security compliance, Gaurav combines technical ingenuity with a commitment to quality and regulatory integrity. His work continually emphasizes data integrity, cyber-resilience, and cross-functional collaboration.

Awards & Honors

Gaurav Mittal’s exceptional contributions have been formally recognized within Thermo Fisher Scientific through prestigious accolades. In the first quarter of 2023, he emerged as the Winner of the Golden Lever Award in the Teams Category for his pivotal role in the “Tosca Validation” project, which demonstrated outstanding alignment of quality assurance practices with regulatory standards. Additionally, he was honored as a Finalist in the Individual Category of the same award cycle for his innovative development of the “AWS IAM Keys Rotation Utility,” a solution that significantly enhanced cloud security and operational efficiency. These recognitions highlight his technical leadership, forward-thinking innovation, and consistent ability to drive impactful, high-value results across cross-functional teams.

Publications Top Notes

Title: Using AI-powered Email Classification to Accelerate Help Desk Responses
Author: Gaurav Mittal
Source: InfoWorld
Summary:
This article showcases how AI-based email classification can transform help desk operations by automatically categorizing incoming support emails. Gaurav presents a custom machine learning solution trained on historical ticket data that enables faster triage and routing. The approach improves resolution time, reduces workload for agents, and enhances customer satisfaction by accelerating initial responses.

Title: How Can We Balance AI’s Potential and Ethical Challenges?
Author: Gaurav Mittal
Source: Observatory Wiki
Summary:
Gaurav delves into the dual nature of AI—its transformative capabilities and the ethical dilemmas it presents. He discusses issues such as algorithmic bias, data privacy, and transparency. The article proposes a framework for responsible AI adoption, urging developers and organizations to adopt ethical guidelines that align with societal expectations and regulatory standards.

Title: Managing Diverse Data Types in a Dataset with COLUMNTRANSFER
Author: Gaurav Mittal
Source: CodeMag
Summary:
In this technical piece, Gaurav introduces the COLUMNTRANSFER technique, which is designed to handle datasets containing mixed data types (categorical, numerical, and text). He outlines a pipeline built using Python’s ColumnTransformer, enabling efficient preprocessing and improved machine learning model performance. The article is particularly valuable for data scientists working with real-world, heterogeneous datasets.

Title: Use These Two Approaches To Deploy ML Models on AWS Lambda
Author: Gaurav Mittal
Source: The New Stack
Summary:
This article presents two practical deployment strategies for running ML models on AWS Lambda: packaging models as Lambda layers and invoking them with scheduled warm-up events to avoid latency. Gaurav shares detailed architecture, code snippets, and cost-optimization tips, enabling scalable, serverless AI solutions with minimal operational overhead.

Title: Automating Email Processing with AI Powered Named Entity Recognition for Efficient Data Labeling
Author: Gaurav Mittal
Source: MSPAA.net
Summary:
This publication explores how Named Entity Recognition (NER) can automate the extraction of key information from emails to streamline data labeling and ticket classification. Gaurav outlines the development and integration of an AI model that identifies entities like names, locations, and technical terms to automate email sorting, reduce manual intervention, and boost workflow efficiency.

Conclusion

Gaurav Mittal exemplifies the ideal blend of technical mastery, strategic vision, and leadership excellence. From streamlining DevOps pipelines and deploying AI/ML utilities to improving regulatory compliance and fostering innovation, he has repeatedly delivered transformative solutions. His leadership in cloud-native development, AI deployment, and QA automation, combined with a relentless drive for excellence, makes him an exceptional nominee for recognition in the field of IT and Data Science. With his unwavering commitment to quality, efficiency, and innovation, Gaurav is poised to continue making substantial contributions to the future of intelligent, secure, and agile enterprise technology.

Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award

Mr. Kgaogelo Edwin Ramatsetse | Technology | Best Researcher Award 

Lecturer, University of South Africa, South Africa

Kgaogelo Edwin Ramatsetse is a dedicated lecturer and food science researcher at the University of South Africa (UNISA), specializing in food safety and functional meat product innovation. With a passion for advancing nutritional science, he explores the use of indigenous African crops like Bambara groundnut and Moringa oleifera to enhance meat quality and public health outcomes. His interdisciplinary approach integrates food microbiology, product development, and preservation technologies. Recognized as the Best Graduand in Food Science and Technology at the University of Venda, Ramatsetse continues to mentor students, collaborate with research teams, and publish impactful scientific articles that contribute to both academic advancement and industry transformation.

Professional Profile

Google Scholar

🎓 Education

Ramatsetse holds a Master of Science (MSc) in Food Science and Technology from the University of Venda. His academic training focused on bioprocessing, nutritional analysis, quality assurance, and food preservation. This solid foundation has guided his professional path as an educator and researcher.

💼 Experience

Ramatsetse’s career journey spans academia, government research, and the private sector. He served as a Research and Innovation Intern at the University of Venda, a Laboratory Assistant, and later interned at the Agricultural Research Council. He also gained industry exposure at Cavalier Foods. Currently, as a lecturer at UNISA, he leads research initiatives, mentors undergraduate and postgraduate students, and contributes to academic development through publications and conferences.

🔬 Research Interests

His primary research interests include food safety, meat science, nutritional enhancement through functional ingredients, and the valorization of underutilized crops. He is particularly interested in the microbiological safety of meat products and how plant-based fortification can improve shelf life, sensory attributes, and health benefits. Ramatsetse is also developing a PhD proposal focusing on meat safety, microbial hazards, and regulatory frameworks.

📚Publications Top Notes

“Effects of Adding Moringa oleifera Leaves Powder on the Nutritional Properties, Lipid Oxidation and Microbial Growth in Ground Beef during Cold Storage”
Authors: Mashau ME, Ramatsetse KE, Ramashia SE
Journal: Applied Sciences, Vol. 11(7), Article 2944 (2021)
Citations: 44
Summary: This experimental study demonstrated that incorporating Moringa oleifera powder into ground beef significantly improved its antioxidant stability, delayed lipid oxidation, and inhibited microbial growth during refrigeration. The findings support the use of natural plant additives for extending the shelf life and enhancing the nutritional profile of meat products.

“A Review on Health Benefits, Antimicrobial and Antioxidant Properties of Bambara Groundnut (Vigna subterranea)”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: International Journal of Food Properties, Vol. 26(1), pp. 91–107 (2023)
Citations: 39
Summary: This comprehensive review compiled existing research on the health-promoting properties of Bambara groundnut, highlighting its high protein content, bioactive compounds, and potential as a sustainable functional ingredient. The paper emphasized its antioxidant and antimicrobial capabilities, encouraging its use in food systems, especially meat formulations.

“Impact of Industrial Revolutions on Food Machinery – An Overview”
Authors: Jideani AIO, Mutshinyani AP, Maluleke NP, Mafukata ZP, Sithole MV, et al. (incl. Ramatsetse KE)
Journal: Journal of Food Research, Vol. 9(5), pp. 42–52 (2020)
Citations: 27
Summary: This article reviewed the evolution of food processing machinery across industrial revolutions, discussing advancements in automation, digitalization, and intelligent systems. Ramatsetse’s contribution helped assess how modern machinery can improve food safety, quality, and efficiency in production.

“The Incorporation of Moringa oleifera Leaves Powder in Mutton Patties: Influence on Nutritional Value, Technological Quality, and Sensory Acceptability”
Authors: Khomola GT, Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Open Agriculture, Vol. 6(1), pp. 738–748 (2021)
Citations: 10
Summary: This study assessed the effects of adding Moringa leaf powder to mutton patties. It showed improvements in protein and fiber content, while enhancing water-holding capacity and maintaining consumer acceptability. The research validates the role of Moringa in creating healthier, functional meat products.

“Effect of Partial Mutton Meat Substitution with Bambara Groundnut (Vigna subterranea (L.) Verdc.) Flour on Physicochemical Properties, Lipid Oxidation, and Sensory Attributes”
Authors: Ramatsetse KE, Ramashia SE, Mashau ME
Journal: Food Science & Nutrition, Vol. 12(6), pp. 4019–4037 (2024)
Citations: 6
Summary: This recent article explored replacing mutton with Bambara groundnut flour in patties. The results showed improved moisture retention and antioxidant capacity, while reducing saturated fat content. It also maintained favorable taste and texture, supporting plant-based meat innovation.

🏅 Conclusion

Kgaogelo Edwin Ramatsetse is a promising researcher whose academic achievements and published work are already contributing to food safety, public health, and sustainable innovation in meat science. His research addresses timely challenges in nutrition and food preservation, using African resources to find global solutions. With a total of 8 journal publications, a citation index of 4, and several high-impact articles, he continues to expand his influence in both academic and applied food science. His commitment to student mentorship, multidisciplinary collaboration, and research dissemination makes him a strong candidate for the Best Researcher Award.

Dr Umer Daraz | Statistics Award | Best Researcher Award

Dr Umer Daraz | Statistics Award | Best Researcher Award

Dr Umer Daraz ,Central South University, China

Umer Daraz is a dedicated statistician from Pakistan 📊. He completed his Ph.D. in Statistics from Soochow University, China 🎓, focusing on the properties and construction of three-level designs with less β-aberration. With a strong academic foundation from Quaid-I-Azam University, Islamabad 🇵🇰, he has excelled in teaching roles at various institutions. Umer’s research interests include experimental design, applied statistics, and survey sampling 📈. He has contributed to numerous publications and actively participates in international conferences 🌍. Umer’s passion for statistics drives his quest for innovative solutions in the field 📚.

Publication Profile

Scopus

Education

Umer Daraz embarked on his academic journey at Punjab University, Lahore, Pakistan, where he earned a B.Sc in Mathematics, Statistics, and Economics from September 2009 to July 2011 🎓. He then pursued an M.Sc in Statistics at Quaid-I-Azam University, Islamabad, Pakistan, completing it between March 2012 and January 2014 📊. Umer continued his studies at the same university, achieving an M.Phil in Statistics from September 2014 to July 2016 📚. Finally, he earned his Ph.D. in Statistics from the School of Mathematical Sciences, Soochow University, Suzhou, China, from September 2019 to June 2023 🎓

Professional Experience 

From September 2016 to May 2018, Umer Daraz served as a lecturer in the Department of Statistics at Federal Kintaar College, Rawalpindi, Pakistan 👨‍🏫. He was also a visiting lecturer at Riphah International University, Islamabad, from September 2016 to February 2017, where he taught Survey Sampling and Sampling Techniques 📊. Additionally, Umer taught Business Statistics at the Federal Urdu University, Islamabad, from March 2016 to August 2016 📚. His journey also includes a stint from March 2015 to February 2016 as a visiting lecturer in Business Mathematics and Statistics at Riphah International University 📈.

Research Focus 

Dr. Umer Daraz’s research primarily focuses on statistical methodologies and their applications 📊. His work spans areas like experimental design, applied statistics, and survey sampling. He has a keen interest in developing new estimators and improving existing statistical techniques to handle extreme values and optimize data analysis processes 📈. Umer’s research also delves into the use of advanced statistical methods in medical and clinical studies, addressing methodological issues in predictive tools and risk assessment 📚. His contributions are aimed at enhancing the precision and reliability of statistical models in various fields 🌍.

Publication Top Notes

Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling 📊 (0 citations), 2024

Methodological issues in use of MRI as a predictive tool 🧠 (0 citations), 2019

Methodological issues in predicting the occurrence of complications following corrective cervical deformity surgery 🏥 (3 citations), 2019

The American College of Chest Physician score to assess the risk of bleeding during anticoagulation in patients with venous thromboembolism: comment 💉