• Executed an in-depth analysis of the U.S. healthcare landscape from 2019 to 2020 using PowerBI, providing profound insights for informed decision-making in the healthcare sector.

• Explored and presented key findings and strategic insights through a concise Executive Summary, serving as a valuable resource for decision-makers in the healthcare industry.

• Conducted comprehensive analyses of hospital performance, offering insights into patient admissions, discharge rates, and overall hospital efficiency, providing strategic perspectives for healthcare administrators.

• Examined patient-related data and outcomes to reveal actionable insights for improved patient care. This analysis included patient demographics, treatment efficacy, and identified potential areas for enhanced medical interventions.

• Analyzed healthcare provider metrics, focusing on payer-provider relationships and financial interactions. This section provided crucial insights for optimizing the healthcare provider landscape, identifying potential areas for cost optimization and revenue enhancement.

• Visualized monthly aggregated expenses, offering financial insights to guide resource allocation. The analysis included a breakdown of expenses, highlighting trends, and areas for potential cost savings.

• Presented an Entity Relationship Diagram (ERD) illustrating the data structure and relationships within the healthcare analytics project, providing a deeper understanding of the underlying data architecture.

• Offered a purpose section setting the context for the project and its objectives, providing an understanding of the driving force behind the U.S. Healthcare Analytics Insights initiative.

Country Analysis:

• Conducted thorough analysis to highlight the United States' dominance in higher education.

• Identified and showcased factors contributing to this dominance, such as the concentration of universities, appeal to international students, and leadership in female enrollment.

• Examined global trends in university rankings to provide insights into the unique educational strengths across different countries.

University Analysis:

• Utilized data analysis to emphasize the United States' leading position in global higher education.

• Identified and highlighted academic excellence through numerous top-ranked institutions within the United States.

• Tracked and analyzed shifting trends in global university rankings to understand the dynamic nature of the global education landscape and the United States' role within it.

Ranking Analysis:

• Focused specifically on analyzing higher education rankings to underscore the United States' dominance.

• Examined various ranking systems to showcase academic excellence and the influential global positioning of US universities.

• Provided insights into the distribution of US universities across different ranking systems, offering valuable insights into student preferences among diverse demographics.

Yearly Analysis:

• Conducted an annual analysis to offer insights into the changing trends within higher education.

• Examined enrollment dynamics, shifts in international student preferences, and changes in university rankings on a yearly basis.

• Provided a comprehensive snapshot of the dynamic global education landscape over time.

Ranking System Analysis:

• Conducted a detailed analysis focusing on higher education rankings to reveal the United States' dominance on a global scale.

• Showcased academic excellence and examined the distribution of US universities across various ranking systems.

• Provided insights into student preferences and perceptions of US universities among diverse demographics based on different ranking systems.

Project Documentation and In-depth Insights Exploration:

• Developed comprehensive documentation including an analysis report and methodologies guide, detailing the process of data gathering, transformation, and analysis using Power BI.

• Conducted extensive exploration to uncover regional patterns, assess the impact of different criteria, and conduct correlation analysis.

• Provided valuable insights into the dynamic global higher education landscape, aiding decision-makers in adapting strategies to capitalize on emerging opportunities and challenges.

• Employed MECE methodology for thorough dataset analysis, ensuring comprehensive exploration and uncovering valuable insights essential for strategic decision-making.

• Conducted detailed examination of customer behavior, including preferences, rental trends, and demographics, enabling tailored marketing strategies to enhance satisfaction and loyalty.

• Utilized advanced analysis techniques to optimize film inventory management, identifying top-performing rentals and guiding strategic decisions for improved revenue and operational efficiency.

• Implemented SQL queries and EDA techniques to delve deep into customer behavior and revenue trends, providing a solid foundation for informed decision-making and proactive business strategies.

• Evaluated staff productivity metrics and operational processes to streamline store operations, reducing costs, and enhancing customer experiences, ultimately improving overall business performance.

• Provided actionable insights derived from data-driven analysis, empowering rental store owners to make informed decisions aligned with business goals, risk mitigation, and capitalization on growth opportunities.

• Leveraged Power BI to develop intuitive and visually compelling dashboards, enabling stakeholders to gain quick insights into various aspects of the rental business, facilitating informed decision-making and driving business success.

• Calculated market cap trends by date, capturing insights into volume, high, average, and low values.

• Examined the yearly performance (2017-2021) of prominent cryptocurrencies including Binance Coin, Bitcoin, Dogecoin, Ethereum, NEM, Stellar, and XRP.

• Developed dynamic dashboards illustrating the market cap fluctuations over time, providing a comprehensive view of cryptocurrency performance.

• Utilized Power BI to create interactive charts showcasing the historical evolution of selected cryptocurrencies.

• Engineered predictive models to forecast high and low prices by date, enabling a proactive approach to market trends.

• Implemented advanced analytics in Power BI to predict open and close prices, enhancing decision-making capabilities for stakeholders.

• Integrated actionable insights into the dashboard to empower users with informed decision-making regarding cryptocurrency investments.

• Employed Power BI functionalities to generate user-friendly reports, fostering a deeper understanding of cryptocurrency market dynamics.

• Designed intuitive visualizations highlighting key metrics, facilitating a quick understanding of cryptocurrency market behavior.

• Leveraged Power BI's capabilities to craft compelling narratives through data, aiding stakeholders in strategic decision-making.

• Analyzed retail performance through key performance indicators (KPIs) including Sales, Quantity, Profit, Average Delivery Days, Returns, and Total Cities.

• Developed insightful charts such as Sales by Category, Sales by Segment, and Sales by Payment Mode, offering a detailed view of retail metrics and patterns.

• Conducted geographical analysis to identify top-performing states, showcasing the top 10 states with the highest profit and sales.

• Implemented visualizations for Sales by Subcategory, Monthly Sales by Year-on-Year, Monthly Profit by Year-on-Year, and Sales by Ship Mode, enhancing understanding of product categories and delivery modes.

• Executed a comprehensive Sales Forecast of 15 days by Order Date, providing strategic insights into short-term retail trends.

• Visualized Sales by State, offering a detailed perspective on regional sales performance and aiding in targeted decision-making.

• Determined key performance indicators (KPIs) including profit, sales, quantity, and discount, providing a comprehensive overview of sales performance.

• Developed interactive charts, such as Sales by Ship Mode, Sales by Segment, and Sales by Quarter, offering detailed insights into sales distribution and patterns.

• Conducted Sales and Profit Correlation Analysis, facilitating a nuanced understanding of the relationship between profit and sales for strategic decision-making.

• Implemented Category Profit Summation and Price-Map Analysis, enhancing the ability to identify profitable product categories and pricing strategies.

• Visualized Geographical Sales Distribution, including Sales by Month, Sales by Category, and Region Analysis, offering a geographic perspective on sales performance.

• Executed detailed Region Analysis for Monthly Sales and Quantity Totals, providing targeted insights into regional variations and trends.

• Engineered an HR Analytics Dashboard in Power BI, featuring KPIs like Count of Employees, Attrition, Attrition Rate, Average Age, Average Salary, and Average Years.

• Implemented dynamic slices for Human Resources, Research and Development, and Sales, offering a granular view of workforce metrics across different departments.

• Developed interactive charts, including Attrition Analysis and Gender distribution, providing a nuanced understanding of employee turnover patterns.

• Analyzed Attrition Trends across Education Fields, delving into factors influencing attrition rates within specific educational backgrounds.

• Designed informative charts showcasing Attrition Analysis by Age Group, unraveling insights into age-related attrition patterns.

• Conducted in-depth Attrition Analysis by Salary Slab, providing insights into the correlation between salary levels and employee turnover.

• Empowered HR decision-makers with data-backed recommendations, utilizing Power BI reports on workforce planning and attrition trends.