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International Journal for Innovative Engineering & Management Research (IJIEMR)
I contributed to a significant milestone in academic research by co-authoring a paper titled "AI Resonance: Forecasting Customer Churn for Future Stability," published in the International Journal for Innovative Engineering & Management Research (Vol. 13, No. 4, 2024). This collaboration underscores our dedication to advancing the field of artificial intelligence, particularly in forecasting customer behavior to ensure long-term business stability.
2024
AI Resonance: Forecasting Customer Churn for Future Stability
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2024
Predicting sleeping disorders for improved healthcare- A comprehensive study
7th INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATION (ICICC 2024)
SHAHEED SUKHDEV COLLEGE OF BUSINESS STUDIES, UNIVERSITY OF DELHI, NEW DELHI IN ASSOCIATION UNIVERSITY OF VALLADOLID SPAIN
In February, I had the opportunity to participate in the ICICC 2024 conference held at Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi, in association with the University of Valladolid, Spain. Our research paper, titled "Predicting Sleeping Disorders for Improved Healthcare - A Comprehensive Study," was accepted for publication in the prestigious Springer LNNS series. This acknowledgment underscores the significance of our study in advancing healthcare practices and underscores our commitment to innovative research in the field.
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IJFANS International Journal of Food and Nutritional Sciences
I participated in a collaborative research effort and co-authored a journal article on the K-Nearest Neighbors (KNN) in supervised machine learning. Our work was successfully published in the IJFANS (International Journal of Food and Nutritional Sciences), highlighting our contribution to advancing the understanding and application of machine learning algorithms in diverse fields.
2023
A STUDY ON SUPERVISED LEARNING MODEL – K-NN CLASSIFICATION
about me
I am Gandham Mani Saketh, a final-year student at PB Siddhartha College of Arts & Science, pursuing a B.Sc. in Artificial Intelligence & Machine Learning. With skills in Python, C, HTML, CSS, and tools like Git, GitHub, VScode, and Alteryx, I've developed projects such as a sleep disorder prediction model and a career navigator using Streamlit.
I have co-led a credit score classification project and published research in notable journals, including "A Study on Supervised Learning Model–K-NN Classification" in IJFANS and "AI Resonance: Forecasting Customer Churn for Future Stability" in IJIEMR. Additionally, my work on predicting sleep disorders has been accepted for publication in the Springer journals LNNS (Lecture Notes in Networks and Systems series) and was presented at the ICICC 2024 conference. My achievements include securing 4th place in a nationwide Datathon by Alteryx Sparked. Passionate about leveraging technology to solve real-world problems, I am committed to continuous learning and innovation in AI and machine learning.
phone
9381305134
gandhamsaketh073@gmail.com
