Apple Iphone Flipkart Sale Analysis

This project involved analyzing iPhone sales on Flipkart using Python to understand sales trends, popular iPhone models, and the impact of discounted prices on sales performance. The project used Python, Jupyter Notebook for data analysis, and Flipkart sales data to analyze customer behavior

Rossman Store Sale Analysis

Analyzed sales trends, store performance, and customer behavior to optimize business strategies. Unveiled insights on promotions, holidays, and correlations for data-driven decisions.

Twitter Sentiment Anlaysis

Public sentiments expressed on Twitter regarding airline services and air travel. By analyzing tweet data, trends, and sentiments, organizations and individuals can gain valuable insights into public opinions, customer satisfaction, and potential areas for improvement in the aviation industry. Data

Heart Failure Analysis & Prediction Using Logistic Regression Model

Patient's data to understand heart failure risk factors and predict the likelihood of heart failure. Logistic Regression modeling identifies key factors, while data visualization helps interpret the model's performance. This aids healthcare decisions for early intervention and patient care.

Sugarcane Production By Every Country Analysis ( Using Web Scraping )

Global Sugarcane Production Analysis via Web Scraping provides insights into sugar cultivation worldwide. By extracting and visualizing data, this study aids agricultural decisions and sustainability efforts.

Black Friday Sale Analysis

It dives into the annual shopping phenomenon, exploring sales trends, consumer behavior, and retailer strategies. Through data analysis and visualization, this study uncovers valuable insights for businesses and shoppers, informing purchasing decisions and optimizing sales strategies.

Covid -19 Analysis Dashboard

Tableau COVID-19 Dashboard offers an interactive visual representation of pandemic data. It simplifies complex COVID-19 statistics, enabling users to explore trends, regional impacts, and healthcare insights

Titanic Survival Analysis & Prediction ML Model

As a beginner in data science, I delved into the Titanic dataset, revealing insights into passenger demographics and survival factors. I built predictive models, competed in Kaggle, and honed my feature engineering and evaluation skills. Join me on this data-driven journey!

Course Information ETL using Spark and Snowflake

This project extracts university course information (like schedules, professor names, and class codes) from text files and loads it into a Snowflake data warehouse. The pipeline is built with PySpark for data processing and Docker for easy deployment, allowing scalability for handling large datasets