𝐋𝐞𝐚𝐝𝐞𝐫 | 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐨𝐫 | 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 | 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐄𝐧𝐭𝐡𝐮𝐬𝐢𝐚𝐬𝐭 I am a Computer Science and Engineering student specializing in Data Science at VIT Chennai, with a strong focus on applying AI and Machine Learning to solve real-world challenges in healthcare, agriculture, and environmental sustainability. Through my work, I strive to develop technologies that can create meaningful and positive impact. 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 I have contributed to several impactful research projects, including: - Retina OCT Image Classification (IEEE Washington Conference) – Leveraging Explainable AI to enhance retinal image classification for early detection of eye diseases. - Brain Tumor Detection (CVIP Conference) – Using Explainable AI techniques to improve the interpretation and classification of brain tumor images. - Heartbeat Anomaly Detection (Journal and Conference) – Developing machine learning models for the early detection of cardiovascular anomalies. - Landslide Prediction Using GANs (Journal and Conference) – Applying Generative Adversarial Networks (GANs) to predict and mitigate landslide risks in vulnerable regions. Additionally, I have filed patents for innovations in IMD Dew Point Prediction and Footwear Industry Solutions. 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐚𝐧𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 As the Founder of the 𝘌𝘯𝘨𝘢𝘨𝘦𝘮𝘦𝘯𝘵𝘴 𝘢𝘯𝘥 𝘊𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯𝘴 𝘊𝘰𝘮𝘮𝘪𝘵𝘵𝘦𝘦 𝘰𝘧 𝘋𝘢𝘵𝘢 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 (ECDS) and a 𝘗𝘳𝘰𝘨𝘳𝘢𝘮 𝘙𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘷𝘦 for the CSE Data Science Branch, I have led initiatives like: - DATASET, a 36-hour national-level hackathon. - DATAQUEST, a workshop combining data science education with practical applications. I also serve as an 𝘐𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘈𝘮𝘣𝘢𝘴𝘴𝘢𝘥𝘰𝘳, mentoring students in innovation, IPR, and entrepreneurship, while contributing to strengthening the startup ecosystem in India. 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 - Represented India at FLL 2019, Sydney, winning the 𝘉𝘦𝘴𝘵 𝘗𝘳𝘰𝘫𝘦𝘤𝘵 𝘈𝘸𝘢𝘳𝘥 - Ranked 7th in the 𝘚𝘮𝘢𝘳𝘵 𝘐𝘯𝘥𝘪𝘢 𝘏𝘢𝘤𝘬𝘢𝘵𝘩𝘰𝘯 among 600+ teams - Published research in top journals like 𝘐𝘌𝘌𝘌 𝘈𝘤𝘤𝘦𝘴𝘴 and presented at 𝘨𝘭𝘰𝘣𝘢𝘭 𝘤𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦𝘴 I am always open to connecting with professionals and organizations that share my passion for using AI and data science to address critical challenges and make a lasting impact.