Dinesh Murugan

Work:

• Performed Exploratory Data Analysis (EDA) on the US Accidents dataset from 2019-2023.
• Extracted key insights on accident locations, severe weather conditions, and relevant details.
• Utilized various statistical techniques and visualization methods to analyze the dataset.
• Focused on the geographical distribution of accidents and examined the severity level of accidents.
• Identified areas with the highest accident rates and analyzed the impact of different weather conditions on accident frequency.
• Examined

## Impact

• Valuable information for traffic safety improvement initiatives: By analyzing and curating the US Accidents dataset, the project provided valuable insights into accident locations, severe weather conditions, and other relevant details. This information can be used to identify areas with high accident rates and prioritize traffic safety improvement initiatives in those areas.
• Insights into the geographical distribution of accidents: The project leveraged statistical techniques and visualization methods to examine the geographical distribution of accidents. This analysis helped identify areas with the highest

Work Description:

• Utilized Tableau's visualization capabilities to create interactive and visually appealing visualizations.
• Created visualizations that effectively communicated key marketing metrices and trends.
• Provided insights on marketing trends, competitor analysis, and consumer preference.
• Informed marketing strategy and decision making.
• Analyzed the survey results from 10k respondents in 10 cities.
• Identified brand awareness, market share, and product development opportunities.
• Used Tableau to present the survey data in a clear

Impact:

• The utilization of Tableau's visualization capabilities helped in creating interactive and visually appealing visualizations.
• The visualizations effectively communicated key marketing metrics and trends.
• The insights provided on marketing trends, competitor analysis, and consumer preferences informed the marketing strategy and decision-making.
• The survey was conducted in 10 cities and received results from 10k respondents, allowing for a comprehensive analysis.
• The increased brand awareness and market share can be attributed to the informed marketing strategy based on the insights

## Work Description

• Collected and analyzed pizza sales data to gain insights into sales performance, customer preferences, and trends.
• Developed SQL queries to extract key metrics, including total sales by pizza type, monthly, daily, and hourly sales trends, and top-selling pizzas.
• Leveraged Excel features such as pivot tables, charts, and formulas to create a comprehensive dashboard.
• Presented the dashboard to stakeholders, enabling data-driven decision-making in optimizing pizza sales strategies.
• Provided insightful commentary and recommendations based

Impact:

• Collected and analyzed the pizza sales data to gain insights into sales performance, customer preference, and trends for business requirements.
• Provided insightful commentary and recommendations based on the analysis of sales data.
• Developed SQL queries to extract key metrics, including total sales by pizza type, monthly, daily, and hourly sales trends, and top-selling.
• Leveraged Excel features such as pivot tables, charts, and formulas to create a comprehensive dashboard.
• Presented the dashboard to stakeholders, enabling

Utilizing data analysis and machine learning, this paper addresses road safety concerns by predicting accident types and offering safety

recommendations, aiding both authorities and citizens.