Data analyst with a passion for translating data into actionable insights & optimizing business processes through advanced analytical skills.
The goal of this study is to conduct statistical analysis and predict
whether a patient is suffering from appendicitis or not
using machine learning and deep learning models.
In this project, we use SQL to extract valuable insights from various aspects of patient treatments and hospital operations, facilitating informed decision-making and improving patient care.
This project focuses on utilizing PySpark in Databricks to analyze supermarket sales data, extracting meaningful patterns and trends to enhance business strategies and optimize retail operations.
This dashboard, created using Power BI, is focused on sales analysis, leveraging data visualization to provide actionable insights for strategic workforce management,cost reduction and inventory management strategies.
This HR analytics dashboard, created using Power BI, is focused on attrition rates, leveraging data visualization to provide actionable insights for strategic workforce management and retention strategies.
The goal of this project is to implement the CNN algorithm to predict handwritten images and also develop a web ui to upload images using ReactJS and Flask.
Designed a marketing campaign dashboard on Tableau to analyze customer campaign acceptance rates, facilitating informed decision-making and enhancing campaign optimization strategies.
The objective of this study is to web scrape the top 100 best songs of all time from the IMDb website using Python.