Data AnalysisProjects

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NYC Restaurant Health Check

In the NYC Restaurant Health Check project, we used Tableau to explore the Department of Health and Mental Hygiene's inspection results dashboard. Our goal was to reveal a comprehensive snapshot of health and hygiene standards in NYC restaurants. With Tableau's dynamic features, the project unveiled patterns and trends, creating visually compelling explorations that transform data into actionable insights. Elevate your understanding of restaurant health standards with our innovative Tableau-driven approach.

Link: Tableau Public

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HR Attrition Executive Data Analysis In Tableau

This project utilized Python, SQL, and Tableau for a comprehensive analysis of employee data, focusing on key metrics like attrition rates and job satisfaction. The goal was to provide the CEO with insightful data for informed decision-making. Python processed and analyzed the data, SQL managed complex queries, and Tableau created dynamic visualizations. This integrated approach facilitated a thorough exploration of employee trends, equipping the CEO with necessary insights for strategic workforce management. Elevate decision-making with our adept integration of Python, SQL, and Tableau, offering a nuanced understanding of your workforce dynamics.

Link- Project Link

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HR Attrition Executive Dashboard on Tableau

Within this project, advanced analytics seamlessly integrates into the management of people's data, spanning from recruitment to performance management. The HR dashboard serves as a comprehensive tool for monitoring the organizational life cycle, efficiently aggregating and presenting employee data. This empowers businesses to make well-informed, data-driven decisions. From tracking attrition rates to gauging job satisfaction, this dashboard provides leaders with a nuanced understanding of employee potential, field-specific attrition, and other critical insights. It stands as a pivotal resource for enhancing strategic decision-making across various facets of workforce management.

Link: Project Link

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Sales and Budget Analysis (Power BI)

Deploying Power BI for a comprehensive Sales and Budget Analysis initiative, we executed meticulous data cleaning, developed a robust model, and leveraged advanced DAX features. Noteworthy achievements encompass the generation of precise metrics, category-specific insights, and the identification of key customers and products. This implementation ensures a data-driven approach, enhancing strategic decision-making in sales and budget management.

Link: Project Link

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Fuel Economy Data For 2015 Model Year Cars Dashboard on Tableau

Leveraging Python and SQL for data analysis and cleaning, complemented by Tableau for data visualization, this project focused on fuel efficiency. The analysis delved into the influence of variables such as cylinder count and CO2 emissions rates, among other metrics. The integrated approach facilitated a comprehensive exploration and visualization of key factors, offering valuable insights into the dataset's intricacies related to fuel efficiency.

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Product Sales Analysis Dashboard Using Excel

Executed a project involving meticulous data cleaning, application of advanced formulas, and the development of a dynamic Sales Analysis Dashboard. Achievements include providing comprehensive insights into sales and profit analysis, category-specific details, and key performance indicators. This project showcases a commitment to empowering businesses with actionable insights for success.

Link: Project Link

Disney Wiki Watch_ Scraping and Analyzing Disney Movie Data from Wikipedia ( Data Science Project).mp4

Disney Wiki Watch web scraping

Executed web scraping and analysis on Disney Wiki Watch to scrutinize box office trends and evaluate the success of various directors or production companies. This process involved extracting relevant data from the website, followed by a comprehensive analysis to discern patterns and insights related to box office performance within the Disney context.

Link: Project Link

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Product Sales Analysis Using Excel

This project entailed meticulous data cleaning, purposeful column creation, and the strategic application of advanced Excel formulas. The resulting dashboard provides a comprehensive view of sales and profit analysis, offering granular insights into category-wise profit, sales share percentages, regional performance, and top-performing subcategories. Key Performance Indicators (KPIs) include assessing product lines' sales contribution, identifying top-performing categories, and evaluating profit margins. Beyond numbers, this initiative is about empowering businesses with actionable insights for unparalleled success.

Coffee Sales Dashboard In Manhatta Using Excel

Successfully developed and implemented the Coffee Sales Dashboard in Manhattan, showcasing a strong aptitude for data analysis and visualization. Key achievements include providing comprehensive insights into sales trends, geographical impact, top customer contributions, and product preferences. Leveraged advanced Excel functions for meticulous data cleaning and accuracy. Proven ability to transform data into actionable insights for business success.

Link : Project Link

Clean Sweep a data Cleanning project

This project involved working with a highly messy and challenging real-life garments dataset, requiring advanced data-cleaning techniques and problem-solving skills to transform it into a usable format for further analysis.

Link: Project Link

Enhancing Sales Channel Optimization

Conducted data analysis for an NYC-based e-commerce company specializing in online clothing sales. Provided recommendations for enhancing their app or website to improve customer experience and boost sales.

Link- Project Link

Sales Analysis of Electronics Store

Leveraging Python Pandas and Matplotlib, this project involved the analysis of a large dataset encompassing electronics store purchases. Through meticulous data examination, trends, and insights related to sales and products were identified, providing valuable information for strategic decision-making. .

Link- Project Link

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