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analyzing-bank-marketing-data-for-improved-strategy

boeing_data_analysis

The main objective of this project is to perform exploratory data analysis (EDA) to identify patterns and trends within the dataset. By examining historical data, the project aims to uncover potential opportunities based on past trends.

clustering_usarrrest

This project utilizes the USArrests dataset to apply clustering algorithms (K-means and PAMK) for partitioning the data into distinct groups based on similarity measures, providing insights into patterns and groupings of violent crime rates across different states in the United States.

coverquick_project

This project focuses on developing a clear demographic segment of CoverQuick's users and analyzing resume metrics to improve customer experience, formulate strategies, streamline hiring processes, and identify untapped market opportunities.

customer-churn-prediction

This project focuses on predicting customer churn in a telecommunications company using machine learning. Customer churn, or the rate at which customers leave a service, is a critical metric for businesses, and predicting it can help in implementing retention strategies.

customerchurnanalysis-powerbi

Incorporated Python into Power BI to construct a dynamic Customer Churn Analysis Dashboard. Leveraged Python for precise churn percentage calculations and segmentation insights, enhancing the portfolio with data-driven decision-making capabilities.

doc_tool

doctool

engagementsurvey_analysis

The project involves collecting survey data from employees, analyzing the responses, and deriving meaningful insights to improve employee satisfaction and overall organizational performance.

enhancing-insights-tech-professional-survey-data-analysis-with-power-bi

n the rapidly evolving tech industry, understanding the perspectives and experiences of professionals is paramount. The "Enhancing Insights" project leverages the power of Microsoft Power BI to analyze survey data from professionals in the tech field.

etl-project

COVID-19 Data Analysis Using ETL Processes

mushroom-dataset_analysis

This analysis utilizes logistic regression and cross-validation techniques on the Mushroom dataset to predict the edibility of mushrooms based on their characteristics, providing insights into feature correlations and model performance evaluation.

online_retail_sqlanalysis

period_promise

portfolio_analyst.github.io

This Github repository showcases various projects on data analysis, providing insights and solutions to real-world problems.

salesdashboard

shikha-sharma-portfolio.github.io

My portfolio website

superstore_dataset_analysis

This project involved performing EDA on the Superstore dataset using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn to gain insights into the data, identify patterns, trends, and relationships, and prepare the data for further analysis and modeling.

tableau_project

The Tableau email campaign visualization provides insights into key metrics: open rate, subscriber count, new user acquisition, and bounce rate.This visualization enables trend monitoring, pattern identification, and data-driven decision-making. It helps optimize campaigns, compare performance, and set goals.

text-to-speech-app

threadapp_analysis

User Review Analysis of the Thread App

titanic-dataset_tableaudashboard

webscraping_project

Scraping 2023 Fortune Global 500 for 14 Canadian firms' 2022 revenue, profit, employees, sector, using Python's BeautifulSoup.

wheatherdata

yvr-hackathon-2024

Crow's Nest, Facility Standards Detection