shantamgarg24 Goto Github PK
Name: Shantam Garg
Type: User
Bio: Data-driven and results-oriented Data Science Enthusiast who excels in exploring databases, collecting and analyzing data, and writing extensive reports.
Twitter: shantamgarg24
Shantam Garg's Projects
airbnb-case-study-using-tableau
This repository provides an in-depth analysis of Airbnb's revenue decline and proposes strategies to capitalize on the lifting of travel restrictions.The repository includes Python code for data cleaning and EDA, as well as Tableau visualizations, offering comprehensive insights and actionable strategies for revenue growth at Airbnb.
bike-sharing-business-problem-solving-using-linear-regression
Used supervised learning regression technique to solve the business problem.
case-study-for-credit-analysis-using-eda
Used exploratory data analysis to solve the problem of customer who will likely to default on their bank loans.
finance-and-risk-analytics
This Git repository contains the code and documentation for an investment portfolio management project. The project aims to provide professional consultation to two different investors, Mr. Patrick Jyenger and Mr. Peter Jyenger, based on their unique financial objectives.
kpmg-data-analytics-consulting-virtual-internship
KPMG Virtual Internship
lead-scoring-case-study-using-logistic-regression
Used supervised learning classification technique to solve the business problem.
recipe_recommender_asssignment_eda_using_pyspark
Used Amazon AWS and PySpark to solve this EDA assignment
rsvp-upcoming-project-analysis-using-mysql
Used SQL to do the data analysis to find the insights in the data to drive business decisions.
sales-insights-using-powerbi-and-sql
This repository contains a Power BI solution for AtliQ hardware, enabling comprehensive analysis of sales trends, informed decision-making, and revenue growth in the brick and mortar business.
superstore-sales-analysis-using-power-bi-and-sql
This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis.
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