Sai Suraj's Projects
Explored and visualized Seattle Airbnb data to gain insights into pricing, geographic trends, and optimal listing strategies for hosts.
Amazon Price Tracker and Notifier: A Python script for automated tracking of product prices on Amazon, logging data over time, and sending email notifications when prices fall below a specified threshold.
Argon - Design System for Bootstrap 4 by Creative Tim
Bike Sales Excel Dashboard Project: Analyzed and visualized sales data, cleaned datasets, and created interactive dashboards in Excel.
BMI Calculator: A Python program for quick Body Mass Index calculation and weight status classification.
An SQL-based exploration of COVID-19 data and vaccination progress using the Covid-Deaths dataset for insights into global pandemic trends.
Cryptocurrency Market Analyzer: Python script utilizing CoinMarketCap API to fetch, analyze, and visualize real-time trends of top 15 cryptocurrencies over different time intervals.
Transformed survey data of data professionals using Power BI, showcasing diverse visualizations and analytics, with emphasis on job roles, programming languages, and geographical insights.
Developed and Applied Machine learning and Deep Learning Algorithms to Build a Model to Classify the Different Flower images into five types with excellent Accuracy. Methods Used : Image Classification, Data Augmentation, Convolutional Neural Network, created, Training and Testing the Model
KnowNFT: A Bot that will answer all the queries regarding NFTs. NFT is a topic known to only a few people on the internet. It is slowly getting popular with each passing hour. So the development of such a Bot is needed to answer all the queries in less time. KnowNFT will solve this Problem and Spread more knowledge about NFTs. It can be used to help people understand NFTs. It will give them the information that they are looking for. In this Project, The website will have a QnA bot that will answer the questions of different users efficiently.
Clean and standardize Nashville Housing dataset using SQL queries for improved data quality and structure.
Analyzing Netflix data to optimize content strategy & viewer engagement. Insights drive decisions for sustained growth in streaming landscape.
Config files for my GitHub profile.
Developed and Applied Machine Learning, Linear Regression to Build a Model that Predicts the Salary of an Employee with Excellent Accuracy.
Wikipedia scraper for extracting and organizing data on the largest companies in the United States by revenue into a structured CSV file.