Hello! I'm Bhavana Vuggina, a final-year Computer Science student with hands-on proficiency in HTML, CSS, JavaScript, Python, SQL, Power BI, Tableau, and AWS. I enjoy crafting interactive web interfaces, automating workflows with Python, designing data models, and turning raw data into sharp, actionable visuals. Whether it's deploying solutions on cloud infrastructure or analyzing business metrics with precision, I focus on building practical, real-world applications. I'm currently looking for opportunities where I can apply this cross-functional expertise to solve challenging problems and contribute meaningfully to tech-driven teams.
This interactive dashboard explores trends among data professionals including career satisfaction, salary distribution, and diversity metrics. Visuals include bar charts, maps, pie charts, and slicers based on demographics like gender, age, and education.
View DashboardDesigned and developed a modern, responsive website for TechWiz, focused on showcasing services and client engagement. Emphasized clean UI/UX, fast load times, and mobile responsiveness. Built using HTML, CSS, JavaScript, Bootstrap
View WebsiteDesigned and developed a modern, responsive website for FutureTech, focused on showcasing services and client engagement. Emphasized clean UI/UX, fast load times, and mobile responsiveness. Built using HTML, CSS, JavaScript, Bootstrap
View WebsiteThis document contains a curated collection of SQL query descriptions designed to demonstrate practical data retrieval, aggregation, filtering, and analysis operations on the AdventureWorks2014 database—a sample database provided by Microsoft for learning and development purposes. These queries cover a wide range of real-world business scenarios, including employee management, customer behavior analysis, sales tracking, product performance, and departmental insights.
View QueriesThis project presents a decade-long analysis of gold price trends using Tableau. The dashboard enables interactive exploration of historical patterns, volatility, and seasonality in gold prices from 2013 to 2023. The dataset includes daily trading information with open, high, low, close prices, volume, and percentage change.
View DashboardThis project involves a comprehensive analysis of gold price trends over a decade, using real-world data from 2013 to 2023. The goal was to uncover long-term patterns, price volatility, and seasonal behavior in the global gold market through interactive and insightful visualizations.
View DashboardBuilt a fully automated, serverless image processing pipeline that applies watermarks to user-uploaded images using AWS Lambda, S3, and Python.
FeaturesA modern web chatbot built with Amazon Lex V2 and AWS Cognito, featuring a sleek UI, text and voice responses, and serverless architecture. Users can type orders and instantly hear spoken replies, powered by browser Text-to-Speech.
AWS Services Used:A real-time web app that identifies fake product reviews using logistic regression and natural language processing techniques. Built with Streamlit, it features advanced text preprocessing, including spelling correction, stemming, and stopword removal. Trained on Amazon review data, the model accurately classifies reviews as Legitimate or Fraudulent.
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