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.

Ms. Aaysha Gupta is a Research Scholar in the Biotechnology Department at Jaypee Institute of Information Technology. She is pursuing a PhD in Medical Biotechnology, with a focus on exploring the anti-aging potential of Indian medicinal plants. Ms. Gupta has previously held the positions of Editor and Event Organizer at Microbioz Journals for two years. She brings over three years of dedicated research experience in the field of Medical Biotechnology, specializing in muscle aging.

Dr. Atul Vashist is an Associate Professor in the Department of Biotechnology, School of Engineering and Allied Sciences (SEAS), Bennett University (Times of India Group), Greater Noida, India. He is the former Principal Scientist in the Department of Infection and Immunology, Translational Health Science and Technology Institute (THSTI), Faridabad, Haryana, India. He received his Ph.D. Degree in Biotechnology from National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra and earned his postdoctoral from All India Institute of Medical Sciences, New Delhi and Cornell University, Ithaca, USA. He has more than 15 years of research and teaching experience for conducting laboratory sessions in Microbial Genetics, Molecular Biology and Recombinant DNA Technology. His Area of Expertise include infectious diseases, molecular biology, protein chemistry, mycobacteriology, nuclear medicine, hydrogel technology. To date, he is the author of 20 research articles published in peer reviewed international Journals and authored Five Book Chapters etc.

Dr. Himadri B. Bohidar is currently associated with National Center for Excellence in Agro- nanotechnology TERI-Deakin Nanobiotechnology Center, Gurgaon, NCR. He received his Ph.D. Degree in Physics from Indian Institute of Technology, Delhi in 1981 and earned Academic Experience of 31 years in Teaching & Research. Then earned Administrative Experience in JNU for 8 Years. He is having 12 Years of Administrative Experience at National Level. His Area of Expertise includes Nanoscience and Nanotechnology, Nano-bio interface science, Soft Matter Science, Polymer Physics, Biophysics. He has 221(h index: 28) Publications in International Journals and author of 2 Books i.e., Polymer Physics and Molecular Biophysics: Cambridge University Press, 2014, UK, and Self-Assembly of Nanoparticles: Wiley- VCH, Berlin, Germany, 2017). He has filed 9 Patents (one granted). He has supervised 23 Ph.D. students in his career till now. Externally funded Projects Handled is of Rs. 207 lakhs (from DST, DBT and SERB).

Prof. Tinku Basu is the Founder Director of Amity Centre for Nanomedicine at Amity University, Noida, with a PhD from IIT Kharagpur in 1993. Since 2003, she has been a driving force in nanomedicine, specializing in sensor development. Prof. Basu’s impactful contributions include mobile app-based sensors for pesticides, COVID antibodies, and diabetes management. Her research spans electrochemical diagnostic biosensors, precise synthesis of materials like reduced graphene oxide, metal organic frameworks (MOF), and anisotropic metal nanoparticles. Noteworthy inventions include hand-held biosensors for Aflatoxin B1, triglyceride biosensors with extended shelf life, and reusable cholesterol and glucose sensors. With over 50 international publications in peer-reviewed journals and 7 granted patents out of 22 filed, Prof. Basu is a fellow of the Royal Society of Chemistry. Recognitions include the Global Centre for Excellence Education awards by the Japan Govt in 2011 and 2014, and the Best Paper of the Year from King Abulaziz City for Science and Technology in 2013. Prof. Basu’s expertise in translational research, nano biosensors, electrochemical synthesis, and stable conducting polymers has left an indelible mark in the scientific community. She is a respected reviewer for journals like Springer, Elsevier, and ACS.

Dr. Chitra Dhawale is a Professor in the Science and Technology Department of Datta Meghe Institute of Education and Research (Deemed to be University). She received her Ph.D. Degree in Computer Science from S.G.B.Amravati University in 2009. She is having 25+ years of teaching and research experience in computer science. Her area of Expertise includes: Data Science, Machine Learning, Deep Learning, Python Programming, R Programming, Tableau. She/he is the author of 02 books, 08 book chapters and 78 research papers.

Mr. Karan Singh Choudhary is the Founder of Unity Law Attorneys, a law firm based in Delhi. Mr. Singh is also a Distinguished Member – International Council of Jurists (London). Mr. Singh has an Experience of more than 5 years in the field of law. His Area of Expertise includes: Commercial law, information technology, consumer and writ cases, arbitrations, etc. He has secured notable orders such as protected the houses of many residents from being demolished in South Delhi by securing stay order from Delhi High Court.

Dr. Shubham Jaju is a Professor in the Department of Pharmacology at the Osmania Medical College, Hyderabad, Telangana. He received his MD degree in 2023 from Kaloji Narayana Rao University. Then, he worked as a Senior Resident in Osmania Medical College for a year. He is having 4 years of experience in the field of Pharmacology. His area of expertise includes Clinical Pharmacology, Pharmacotherapeutics, Research and Clinical Trials and Drug Safety. He is the author of several scientific articles.

Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.

Dr. Ravichandran is Professor and Head, Department of Chemistry at DRK Institute of Science and Technology, Hyderabad. He earned his PhD (2006) from Madurai Kamaraj University and an MSc from Pondicherry University, and qualified GATE (95th percentile, 1998). With 18 years of teaching and research experience, he has published 175 international papers, holds 16 patents, and has authored 12 textbooks and 60 book chapters. A recipient of multiple national and international honours, his current focus is on developing greener, sustainable chemical methodologies.

Multi-disciplinary Freelance Trainer | AI & ML Educator | Technical Consultant | English & Soft Skills Trainer with 5+ years of industry experience at Bosch (ADAS/Autonomous Systems) and extensive academic & corporate training exposure. Strong blend of Engineering (MTech – Communication Systems), Management (Executive MBA – Project Management & HRM), AI/ML, and International TESOL/TEFL credentials (500+ hours). Adept at delivering outcome-driven training, curriculum design, project mentoring, and technical consulting for students, institutions, and professionals.

Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.