Data Analysis
Work with data to extract insights that inform decision-making and business strategies. Analyzing data using statistical techniques, machine learning algorithms, or other methods to uncover trends, patterns, and correlations.
Data Analyst High level experience in Data Analysis and Dashboard design, "Always I say Data Analysis is an art and not everyone is an artist".
I am a data analyst. I collect, analyze and store data, in a variety of ways to ensure the accuracy and validity of the data, with the aim of reaching the desired final form of data and presenting it to businesses and companies with the aim of improving the decision-making process.
Work with data to extract insights that inform decision-making and business strategies. Analyzing data using statistical techniques, machine learning algorithms, or other methods to uncover trends, patterns, and correlations.
Concentrate on understanding business processes, identifying areas for improvement, and proposing solutions to enhance efficiency and achieve organizational objectives.
Analyzing financial data and market trends to support investment decisions, financial planning, and risk management. Analyzing financial statements, market trends, and economic indicators to evaluate investment opportunities.
π· Purpose of analyze sales data to identify trends, best-selling products, and revenue metrics to make business decisions.
β key performance indicators:-
β‘ Total sales.
β‘ Total no. of units.
β‘ Total products.
β‘ Total ratings.
β‘ Total returned (lost) products.
β‘ Total sales by country and product.
β‘ Average unit price by product.
π· Knowing the trends is valuable so using your stored data is very important as it will guide you to success by replicating the factors that lead to increased profitability and avoiding the factors that have a negative impact. Therefore, in this project we focus on analyzing sales performance data in a retail company that focuses on understanding consumer behavior and improving their experience in addition to enhancing profits.
π· Financial Analysis Dashboard provides a snapshot of financial health, allowing stakeholders to make informed decisions and optimize financial strategies.
β key Takeaways
β‘ Monthly Growth Rates: The dashboard highlights the monthly growth rates for both income and expenses. These metrics are crucial for understanding financial performance trends.
β‘ Savings Percentage: The 64% savings rate indicates healthy financial habits, but the EoY target of 140% suggests an ambitious goal.
π· The British Airways Reviews Dashboard provides insights into flight and passenger experience metrics.
β Key Points:
β’ Passenger Satisfaction Trend: The declining "Rating by Year" suggests a need for improving leisure travel experiences.
β’ Verification Rate: High trip verification indicates reliable customer reviews.
β’ Global Reach: The extensive flight network connects cities worldwide.
β‘ In summary, the British Airways Performance Dashboard is a valuable tool for analyzing customer feedback and optimizing operational efficiency.
π· Salary and wages analysis (Tech Field) for 2020 to 2024. In the rapidly evolving field of data science, understanding the trends and patterns in salaries is crucial for professionals and organizations alike. This dataset aims to shed light on the landscape of datascience Salaries from 2020 to 2024. By analyzing salary data over this period, data enthusiasts, researchers, and industry professionals can gain valuable insights.
π· Netflix is one of the most popular media and video streaming platforms. They have over 8000 movies or tv shows available on their platform, as of mid-2021, they have over 200M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Netflix, along with details such as - cast, directors, ratings, release year, duration, etc.
You have a new project? Let's say Hi ! - Feel free to get in touch with me. I'm always open to discussing new projects.
I need your Name and Email Address, but you won't receive anything other than your reply.