Sumit Joshi

This project leveraged data analysis to examine key COVID-19 metrics in India, including death count, vaccination progress, new case rates, and overall mortality. The objective was to uncover actionable insights and trends within the data to support informed decision-making within the public health domain.

This project employed data analysis and computer vision techniques to develop a system for early detection of retinoblastoma, a critical childhood eye cancer. By analyzing X-ray images, the system identified potential abnormalities, enabling healthcare providers to initiate timely interventions. The project aimed to improve patient outcomes and inform the development of more effective treatment strategies.

This project involved developing a machine learning model to identify fraudulent car insurance claims. By conducting in-depth data analysis and leveraging data visualization techniques, underlying patterns and anomalies indicative of fraudulent activity were uncovered. The resulting model provides accurate predictions, enabling the insurance company to detect and prevent fraudulent claims, thereby mitigating financial losses.

Sales data analysis using SQL, Power BI, and Tableau This project focused on enhancing sales performance through data-driven insights. By ensuring data accuracy and completeness, a solid foundation was established for comprehensive analysis. Utilizing SQL, Power BI, and Tableau, key sales metrics were visualized to identify trends, patterns, and opportunities for improvement. These insights served as the basis for informed decision-making and strategic planning.

• ssumit.joshi613@gmail.com
• +91 8530657106
• Pune, India

This project involved a comprehensive analysis of student progress metrics and financial data to uncover actionable insights. Through in-depth data exploration and visualization, key relationships and trends were identified to support strategic decision-making and resource allocation.

Tracking Student Progress with Power BI

The Power BI dashboard provides a comprehensive overview of the institute's yearly student progress. It includes key metrics on the number of students by country, institute, and department, as well as a time series analysis of active and withdrawn cases. The dashboard can be used to identify trends and patterns, track progress over time, and identify areas where improvement is needed.

Account Management 360 View Dashboard

The top parent account 4 has a total pipeline valued at $50,169,393. The lifetime revenue and global services win rate are represented in bar charts, but exact figures are not provided. The customer success rate is 88.5%, and the customer/prospect engagement rate is also depicted in a line chart, but the exact rate is not specified.

Books Web Scraping

This project I used data to designed and implemented a Python script utilizing BeautifulSoup and requests libraries to efficiently scrape book titles and prices from websites. Leveraged Pandas to structure and analyze the extracted data, enabling.

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