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can you build me an portfolio website Yashwanth Booram LinkedIn: linkedin.com/in/yashwanthbooram GitHub: github.com/yashwanthbooram Email: booramyashwanth@gmail.com Mobile: +91-9440970270 SKILLS • Languages: Python, Java, MERN Stack • Frameworks/Tools: Scikit-learn, PyTorch, Keras, TensorFlow, Pandas, NumPy, Matplotlib, OpenCV • Data & Cloud: MySQL, MongoDB, Power BI, Google Colab, AWS (basic) • Soft Skills: Problem-Solving Skills, Team Player, Project Management, Adaptability INTERNSHIP Outlier – Generative AI Training Company December’24 – June’25 ~Generative AI Trainer-Freelance • Evaluated and optimized large language model outputs for sensitive content detection, improving consistency and contextual accuracy across multiple programming languages. • Utilized Python, Java, C++, and JavaScript for prompt creation, testing, and analysis. PROJECTS Movify: AI-Powered Full-Stack Movie Platform| React, Node.js, Express.js, MongoDB, LLM APIs June’25 – August’25 • Engineered a scalable RESTful API using Node.js and Express.js to manage user authentication, movie data, and CRUD operations for reviews. • Integrated a Large Language Model (LLM) to deliver intelligent features, including a personalized recommendation engine and automatic review summarization. • Developed a dynamic and responsive user interface with React, implementing component-based architecture and state management for a seamless user experience. • GitHub Repository: Movify Project Ship Detection in Satellite Imagery Using Deep Learning| YOLOv3, OpenCV March’25 – April’25 • Pre-processed maritime satellite images, followed by image normalization and bounding box extraction processes. • Developed a YOLOv3 Convolutional Neural Network (CNN) model for high-accuracy ship localization in satellite imagery. • Achieved ~95% Training Accuracy and ~92% Validation Accuracy • GitHub Repository: Ship Detection Project Customer Behavior Analytics – For Retail Stores | K-Means Clustering, RFM Analysis June’24 – July’24 • Applied RFM (Recency, Frequency, Monetary) analysis, K-Means clustering to segment customers into five distinct groups • Determined optimal K using elbow method (WCSS) and visualized segments via scatter plots. • Generated actionable business insights to target high-value customers and improve marketing ROI • GitHub Repository: Customer Behavior Analytics Project CERTIFICATES • Machine Learning Specialization by Stanford| Online and DeepLearning.AI-Coursera • Generative AI with Large Language Models by Coursera. • Dynamic Programming, Greedy Algorithms by University of Colorado Boulder • Google Cybersecurity (Google) EDUCATION • Lovely Professional University Bachelor of Technology - Computer Science and Engineering; CGPA: 7 • Narayana Junior College Intermediate; Percentage: 78.9% • Sri Chaitanya Techno School Matriculation; Percentage: 100% July 2025 October 2023 October 2023 August 2022 Punjab, India October 2022 - Present Hyderabad, Telangana April 2020 - March 2022 Hyderabad, Telangana April 2019 - March 2020