A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.

Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.

A Cyber Law research scholar currently pursuing a PhD at the Faculty of Legal Sciences, School of Law, Shoolini University (Solan), with an LLM in Constitutional Law (CGPA 8.75) and a B.A. LL.B (Eco. Hons.) specializing in International Law. Their work explores the intersection of law and technology, including predictive policing, AI in justice delivery, cyber law compliance, and facial recognition. Recipient of the Prof. Keith Harris Award and a Best Paper Presenter Award, they also co-founded and led university legal aid initiatives.

Dr. Upma Pal is an Assistant Professor in the Department of Biotechnology at the Gautam Buddha University. She received her Ph.D. Degree in Dairy Microbiology from ICAR- NATIONAL DAIRY RESEARCH INSTITUTE in 2022. Then worked as an Assistant professor at Gautam Buddha University. She has 5 Years of Experience in the field of Bioethanol production utilizing dairy waste. Her Areas of Expertise include: bioethanol production, yeast development, metabolic engineering, gene expression ,etc.

Dr. Ali H. Wheeb is a Professor in the Computer Engineering College of Engineering at the University of Baghdad. He earned his PhD in Electrical and Electronic Engineering (2024) from UKM University and brings 10 years of experience in computer engineering along with 16 years in academia. His expertise spans computer engineering and networking, UAV systems, UAV routing protocols, and machine learning, including reinforcement learning. He has published widely and has received research grants and awards.

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Dr. Nabeel Ahmad is Dean at School of Allied Sciences and Professor in the Department of Biotechnology, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India. Over 14 year of teaching, research and administrative experience. He has published several research papers in National and International peer reviewed journals. He also served as Editor in three books on nanobiotechnology namely 3 D Printing Technology in Nanomedicine, Intelligent Nanomaterials for Drug Delivery Applications and Emerging Nanotechnologies for Medical Applications published by Elsevier Pennsylvania USA. He also serving as eminent member of Editorial Board of Journal of International repute. In addition to that, seven patents are also in his credit on nanobiotechnology and discussion is going on to transfer the technology to three organizations to commercialize the same. The same has already been highlighted in the National news papers. Recipient of prestigious fellowship including the Teachers Associateship for Research Excellence (TARE) fellowship under Science and Engineering Research Board (SERB) Department of Science & Technology (DST) New Delhi. He is the Fellow of Linnean Society (FLS) London. His areas of research are nanobiotechnology, nanosensors, and bioprocess engineering.

Mr. Keshan is an AI/ML researcher, educator, and technologist with an M.Tech in AI & ML and 10+ years of teaching experience. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. Over the past three years, he has actively mentored students and professionals across India, the UK, Belgium, and the USA, delivering application-driven courses focused on conceptual clarity and hands-on learning. He also leads free AI education initiatives for underprivileged girls globally, using technology to create meaningful social impact

Dr. Rudrarup Gupta is a distinguished academic and the Proprietor of “SKILL DEVELOPMENT INTERFACE,” an organization dedicated to management and skill enhancement. He holds a Ph.D. in Management Science and a D.Litt from California University FCE, awarded in 2017. With over 17 years of experience in the field, he has significantly contributed to management and skill development as a Faculty and Assistant Professor at various institutions for 13 years. His expertise spans Management Basics, Leadership, Marketing Management, Management Ethics, and Management Research. Dr. Gupta is a prolific author and scholar, having published approximately 60 research papers and 8 books. His contributions have been recognized with about 50 awards, highlighting his influence and commitment to his field.

A finance and business strategy professional with expertise in taxation, financial planning, and operational optimization. Focused on driving sustainable growth by improving profitability, strengthening compliance, and streamlining business processes. Supports clients with practical, data-driven financial and sales solutions that enhance decision-making, accelerate performance, and build long-term resilience.

Dr. Kumar earned his PhD in Computer Science & Engineering (2021) from UPES, Dehradun, with research focused on semantic information extraction using deep learning, particularly for agricultural applications. He is also pursuing a postdoctoral fellowship at Universidad Internacional Iberoamericana, Mexico. A prolific researcher, he has published 21+ SCI/SCIE-indexed articles and additional Scopus publications, contributed to books and book chapters, and holds a granted patent. He has supervised PhD candidates and delivered workshops and T3 sessions in machine learning, business analytics, and optimization, with interests spanning deep learning, IoT, and cybersecurity.