I am a results-driven Data Analyst & ML Engineer with over 5 years of experience transforming complex datasets into actionable intelligence. I’m passionate about deploying machine learning models that drive measurable outcomes and help businesses thrive.
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
The Amazon Global Sales Dashboard for 2014 presents a high-level overview of business performance, highlighting a sales projection of 3.41M and a total of 3,242 product units sold. The data indicates that the Consumer segment is the primary driver of revenue, accounting for 1.73M or 50.77% of total sales, followed by the Corporate segment at 31.27%. Geographically, the Asia Pacific market leads in sales with 1.09M (32.07%), while the USCA and Europe markets follow with 24.92% and 18.43% respectively.
Profitability metrics reveal that Tamara Chand is the top-performing customer, generating 8.5K in profit, significantly outpacing other top customers like Adrian Barton. Product performance is bifurcated into extreme ends, with the Canon imageCLASS leading as the most profitable product at 9.5K, while the Cubify Cube 3D Printer stands as the least profitable, incurring a loss of -6.6K. Global sales distribution is further visualized through a world map, showing high concentrations of activity across North America, Europe, and parts of the Asia Pacific and Latin American regions.
Query successful
The Netflix Content Intelligence dashboard provides a comprehensive analysis of 8,807 titles released between 2008 and 2021, revealing that the catalog is predominantly composed of movies, which account for 6,131 titles or approximately 69.6% of the total content. This extensive collection spans 92 different production countries and maintains an average of 2.5 genre tags per title to ensure detailed categorization. A visual breakdown of the content type via a ring chart highlights the significant lead movies have over the 2,676 TV shows, while the genre analysis identifies International Movies, Dramas, and Comedies as the most prevalent categories. Geographical data shows the United States as the leading contributor of content, followed by South Korea and Mexico, while the talent section highlights frequent appearances by actors such as Anupam Kher, Shah Rukh Khan, and Naseeruddin Shah. Temporal trends displayed in the titles added per year chart illustrate a steady increase in content acquisition peaking around 2019, with a high concentration of mature-rated content as evidenced by the dominance of TV-MA and TV-14 ratings in the distribution overview.
Hire a Data Analyst
We have the best data analyst experts on Twine. Hire a data analyst in New Delhi today.