Unleashed the potential of Netflix's extensive content library with an interactive Tableau dashboard, providing a user-friendly interface for exploring movies and TV shows.

Analyzed essential details like show ID, type, title, director, cast, country, date added, release year, rating, duration, and listed genres, offering a deep understanding of Netflix's diverse content.

Explored country-wise trends to gain insights into the global distribution of Netflix content, contributing to a nuanced understanding of the platform's international impact.

Identify and delve into the top 10 genres, offering a quick overview of the most popular content categories on Netflix, and aiding users in discovering content aligned with their preferences.

Visualized rating distribution for audience preferences and enhanced user engagement with detailed descriptions for each movie and TV show, providing a comprehensive view of content quality and depth to the exploration experience.

Utilized the Onyx Data DataDNA Dataset Challenge - Spotify Most Streamed Songs 2023 Dataset - October 2023 to meticulously analyze and visualize Spotify's musical landscape, providing a deep dive into the most streamed songs on the platform in 2023.

Employed a combination of descriptive statistics and exploratory data analysis techniques to extract meaningful insights from the dataset, uncovering nuanced patterns and trends within Spotify's vast catalog of music.

Leveraged Tableau as the primary data visualization tool to create interactive dashboards that offer comprehensive insights into various aspects of Spotify's musical ecosystem, including track popularity, streaming behavior, and audio attributes.

Explored diverse dimensions of the dataset, such as artist presence, track inventory, stream metrics, and sonic landscape, to provide a holistic understanding of Spotify's music trends and user preferences.

Designed visually engaging dashboards with intuitive navigation features to present findings in a clear and accessible manner, enabling stakeholders to easily interpret complex data and make informed decisions.

Demonstrated proficiency in data analysis and visualization by creating compelling visualizations that not only showcase key metrics but also tell a coherent story about the evolving dynamics of the music industry.

Provided actionable insights into track popularity dynamics, streaming trends across different time periods and geographical regions, and the impact of audio attributes such as tempo and acoustic profiles on user engagement.

Contributed to advancing knowledge in the field of music analytics by applying rigorous analytical techniques to a real-world dataset, thereby enabling stakeholders in the music industry to gain valuable insights and make strategic decisions based on data-driven evidence.

Explored the list of FIFA World Cup champions and identified top-performing teams across tournament years.

Discovered details about the historical venues that hosted finals, creating a visual journey through the championship's legacy.

Visualized the nations that qualified for the FIFA World Cup, offering insights into the global representation of football excellence.

Delved into audience statistics by country and year, uncovering the popularity and growth of the tournament over time.

Identified teams with the most appearances in finals and semifinals, highlighting consistent performers in World Cup history.

Explored the participation of pioneering nations that contributed to the early years of the FIFA World Cup.

Examined comprehensive competition statistics across tournament years, capturing the evolving dynamics of the prestigious event.

Developed an interactive calendar interface enabling users to dynamically filter data by selecting specific dates, year built, square footage of living space, and square footage of lot area.

Constructed a comprehensive line chart illustrating the daily average house sale prices, providing valuable insights into market trends over time.

Designed histograms showcasing the distribution of house prices, bedrooms, and bathrooms, facilitating a deeper understanding of the housing market landscape.

Implemented an intuitive map visualization to geographically represent house sales, aiding in spatial analysis and identifying key areas of interest within King County, Washington.

Engineered a view versus condition heatmap to analyze the correlation between property views and their conditions, enhancing decision-making processes for potential buyers and sellers.

Leveraged house data to create a multifaceted dashboard, offering users a holistic view of the housing market dynamics in King County, Washington.

Enabled users to explore and analyze housing data efficiently through interactive slicers and visualizations, empowering informed decision-making in real estate transactions.

Utilized Tableau software to craft a visually appealing and user-friendly dashboard, showcasing expertise in data visualization and analytics within the real estate domain.

Conducted in-depth stock market analysis for prominent companies including Apple, Facebook, Google, Nvidia, Tesla, and Twitter.

Utilized key metrics such as start date, end date, last date, last day, total volume, periodic price floor, periodic price peak, and cumulative values to provide a comprehensive overview.

Developed interactive charts, including Volume Analysis, Price and Percent Change Overview, and Moving Average and Open Price Insights, enabling dynamic visualization of market trends.

Created a detailed table for the six companies, presenting close prices, previous day close, price changes, percentage changes, volumes, previous day volumes, volume changes, and percentage changes for comprehensive insights.

Implemented a comparative analysis between start and end dates, offering a detailed examination of stock market performance over specific time frames.

Calculated individual stock performance metrics for each of the six companies, providing granular insights into their market behavior.

Investigated cinematic insights through the "Hollywood Insights" or "Cinematic Analysis" Tableau dashboard, featuring key performance indicators (KPIs) such as Total Films, Total Lead Studios, Total Genres, Average Audience Score, Average Rotten Tomatoes Rating, and Average Worldwide Gross.

Implemented dynamic charts, including Profitability by Lead Studios and Genres, offering a comprehensive view of the industry's financial landscape.

Explored audience reception with detailed charts for Audience Score, Rotten Tomatoes Rating, Worldwide Gross, and Film Details, enriching the understanding of film performance metrics.

Utilized slicers for fantasy, Drama, Action, Comedy, and Romance genres, allowing users to filter and explore specific genre-related insights.

Created interactive charts showcasing Total Films by Years and Genres, providing a timeline view of film production trends.

Analyzed film distribution by Genres and Lead Studios, offering valuable insights into the preferences and market presence of different cinematic genres and studios.

Gathered customer complaints data from diverse sources such as online platforms, customer service logs, and feedback forms.

Cleaned and preprocessed raw data to ensure accuracy and consistency through deduplication, normalization, and standardization.

Implemented calculated metrics like Total Complaints, Rolling 12 Months trend, and Timely Response to assess complaint management performance.

Conducted in-depth analysis across various dimensions including Date Received, Company, State, and Top Issues.

Utilized statistical techniques and exploratory data analysis to uncover insights and anomalies.

Developed interactive visualizations to effectively present key findings, including Weekly Trends and State-Wise Complaints maps.

Derived actionable insights to enhance complaint-handling processes, customer satisfaction, and mitigate risks through process optimization and resource allocation.

Identified opportunities for process optimization, resource allocation, and training initiatives to address recurring issues and streamline complaint resolution workflows.