B. Sai Chaitanya

WORK HISTORY

EDUCATION

ABOUT B. SAI CHAITANYA

As a passionate computer science student with a strong inclination towards Data Science and AI/ML, I am committed to exploring the intersections of technology and data to drive impactful insights and innovations.Professional Journey:Currently enhancing my skills in data science through the Celebal Summer Internship (CSI) program at Celebal Technologies. Here, I gain hands-on experience in advanced data analysis techniques using Python, Machine Learning, and Excel.Previously, I interned as a Data Science (AI/ML) intern at LLMate, I led the development of a Fitness Tutor app using LLM\'s,NLP and Deep Learning to provide personalized fitness plans. Additionally, I created a Streamlit app integrated with Assembly AI for YouTube video transcription and summarization, showcasing UI design and AI integration skills.Key Skills:Proficient in Data Analysis (Python, SQL, Excel, Power BI) with a focus on extracting actionable insights.Strong foundation in Data Structures and Operating Systems.Eager learner in Machine Learning/Deep Learning and its applications in solving real-world challenges.Effective communicator and collaborative team player.Projects Highlights:Document Summarizer and Question GeneratorDeveloped a web application using FLAN T5, Pegasus, and GPT-3.5-Turbo to streamline document processing and enhance user engagement through an intuitive Streamlit interface.Advanced Recommendation System for Amazon ProductsEngineered a system integrating deep learning and NLP to address sparse user-item matrices. Predicted missing values to provide personalized product recommendations based on user preferences.Automated Blood Cell Detection SystemCreated a system leveraging SVM, Logistic Regression, and YOLO V5 models for accurate segmentation and classification of blood cells. Applied image preprocessing, HOG, and PCA techniques for medical diagnostics.Flutter-Based Mobile App for Real-Time Gold Price PredictionDesigned and deployed an app using a Random Forest regression model and Flask backend. Integrated MongoDB for data storage, ensuring reliability and performance in predicting gold prices.Career Aspirations:I am passionate about leveraging Data Science and AI/ML to innovate and solve complex problems. I am eager to explore opportunities that allow me to contribute my skills and enthusiasm to meaningful projects in these fields.Let\'s connect! I am enthusiastic about discussing data-driven solutions, AI/ML advancements, and potential collaborations.