SATEESH GODEWAR

PYTHON | SQL | EXCEL | BI-TOOL | STATISTICS |


GOOGLE ADS ANALYSIS

Provides the analysis, specifically focusing on clicks, Impressions, leads and prospects based on the given categories and channels insights.

CUSTOMER CHURN ANALSIS

The Customer churn analysis trends in customer attrition including churn rate factor influencing churn.

DIVERSITY AND INCLUSION ANALYSIS

Diversity & Inclusion dashboard Tailored for HR Managers explicitly focuses on hiring insights, promotion insights, performance insights, and turnover insights. Hiring Insights: Gain visibility into the gender diversity of the workforce by analyzing the number of female and male hires .

HEALTHCARE INSURANCE ANALYSIS

Identify the factors contributing to patients' healthcare costs. Learn the interdependencies of different factors and comprehend the significance of various tools at various stages of the healthcare cost prediction process. Test hypotheses related to hospitalization costs, types of hospitals, types of cities, smoking, and heart issues. Develop and evaluate machine learning models using regression, random forest, and extreme gradient boosting for cost prediction.

DIWALI SALES ANALYSIS

The Diwali Sales Analysis Dashboard is a comprehensive data analysis project that aims to analyze sales data during the Diwali festival season and provide valuable insights to drive business growth. The project combines the power of Power BI for interactive visualization and Python for advanced data analysis techniques.

SPORTS SALES ANALYSIS

The SPORTS Sales Dashboard provides valuable insights into sales performance at different regions . The analysis reveals, Overall sales trends quarterly, including peak sales periods, fluctuations and channels comparisons

START-UP ANALYSIS

The project involved a comprehensive analysis of the dataset to uncover valuable insights and provide recommendations for strategic decision-making. The analysis focused on examining various aspects of the business, including market trends, customer segmentation, sales performance, operational efficiency, and the competitive landscape.

Spotify -YouTube Analysis

The dataset I will be working with comprises multiple songs from various artists, containing a total of 20,718 data entries. The dataset is composed of 26 variable columns, including information about each track's album, album type, and more.

IPL ANALYSIS

The Indian Premier League (IPL) is a highly popular professional Twenty20 cricket league in India. Established by the Board of Control for Cricket in India (BCCI) in 2008, the IPL features franchise-based teams representing different cities or regions in India. It is known for attracting top international cricket talent, creating a competitive and entertaining tournament.

Road Accident Analysis

The Road Accident Data Analysis project aimed to analyze a comprehensive dataset of road accident records to gain insights into accident patterns, contributing factors, and potential areas for improvement in road safety measures.

E-COMMERCE ANALYSIS

E-commerce Data Analysis: Unveiling sales performance, product insights, customer segmentation, and regional trends to drive business growth and enhance decision-making