Rishi Grace M

RISHI GRACE M Github EXECUTIVE SUMMARY Third-year AI & Data Science undergraduate with a strong foundation in Python, machine learning, and data analytics. Exploring and learning backend engineering. Interested in building intelligent, data-driven solutions and scalable backend systems for finance and enterprise applications. EDUCATION - B.Tech in Computer Science and Engineering (Specialization in AI & DS) SASTRA DEEMED UNIVERSITY, Thanjavur, Tamil Nadu EXPERIENCE August 2025- October 2025 Intern at Infosys Springboard Virtual Internship 6.0 Working on Backend for Azure-Based Demand Forecasting & Capacity Optimization project to develop demand forecasting and capacity optimization solutions using Azure cloud tools. Research Intern at SASTRA University May 2025 - July 2025 Developed and implemented multiple research projects, including Parkinson's disease detection and Deep Learning-based RF signal classification using Google Teachable Machine. PROJECTS Azure Cloud Demand Forecasting & Capacity Planning System Built a multi-model forecasting pipeline (SARIMAX, XGBoost, LSTM) to predict Azure compute, storage, and user demand with engineered time-series features. Developed an interactive Streamlit dashboard for forecasting, capacity optimization, and model monitoring with automated risk indicators and recommendations. Automated Product Review Sentiment Analysis June 2025 Developed a Rule-Based Automated system for sentiment analysis of product reviews, categorizing customer feedback (Positive, Negative, Neutral). Engineered the system to generate contextually relevant merchant replies from a predefined template, based on the analyzed sentiment. PUBLICATIONS “Deep Learning on Modulation Classification using Google’s Teachable Machine” Published in IEEE Xplore, 2025. SKILLS Languages: Soft Skills: Python, C, C++, Java, SQL Problem-solving, Communication, Team collaboration TECHNICAL COURSEWORK & CERTIFICATIONS Python for Data Science (IBM Cognitive Class) Supervised Machine Learning (DeepLearning.ai, Coursera) Artificial Intelligence (Infosys Springboard) Data Visualization Micro Internship (TATA Forage) CO-CURRICULAR ACTIVITIES Infrastructure and Logistics Club Member Role: Requirement analysis, Scheduling, Excel documentation, Inter-college event support Technical Member at Association Of Computer Engineers Cluster: AI and ML