"Bridging the Gap between Data and Action with Expertise in Data Science, Programming, and Machine Learning"
Yuvaraj's journey in the world of data science and programming showcases a remarkable ability to uncover hidden trends and
uncover valuable insights that drive decision-making.
This project aims to develop a user-friendly Streamlit application that utilizes the Google API to extract information on a YouTube channel, stores it in a MongoDB database, migrates it to a SQL data warehouse, and enabling advanced search and comprehensive analysis.
Phonepe Pulse Data Visualization and Exploration. Technologies used Github Cloning, Python, Pandas, MySQL, mysql-connector-python, Streamlit, and Plotly.
This Power BI analysis examines sales data to uncover economic trends, customer preferences, and product performance Interactive visuals reveal insights into sales patterns, demographic behaviors, and category impacts, empowering data-driven decision-making for enhanced revenue and customer engagement.
Analyze marketing campaign data to evaluate campaign performance Using Power BI with DAX and I explored key metrics such as campaign acceptance rates, response rates, and their trends .