Karan Sharma

• Developed features and functionalities for multiple software applications, focusing on user-friendliness and intuitiveness for Officials and the Ministry
• Developed and maintained comprehensive reports and dashboards using SQL, Tableau, Power BI, and SSRS Report Builder
• Contributed to the development and maintenance of the MORTH website using ASP.NET MVC, C#, SQL, JavaScript, HTML, and CSS
• Refactored existing code to improve application performance, scalability, and reliability
• Participated in design reviews and code reviews, collaborating with other software engineers and stakeholders throughout the development process
• Worked closely with government sectors and stakeholders to present data findings and support strategic decision-making
• Tools Used: SQL, Tableau, Power BI, SSRS Report Builder, C#, .NET MVC, Entity Framework, MS SQL Server, SVN

Data Analytics Projects

• Healthcare Data Analysis:Objective: To analyze and visualize healthcare data to identify trends and support strategic decision-making.
  Tools Used: SQL, Tableau, Power BI
  
  Responsibilities:Collected, organized, and analyzed large datasets from various healthcare sources.
  Developed comprehensive dashboards in Tableau and Power BI to visualize key metrics and trends.
  Provided actionable insights and recommendations based on data analysis to support decision-making for healthcare stakeholders.
  Ensured data quality and accuracy through regular health checks and validation processes.
  
• Sales Performance Analysis:Objective: To analyze sales data to identify performance trends and opportunities for improvement.
  Tools Used: SQL, Power BI
  
  Responsibilities:Gathered and cleaned sales data from multiple sources.
  Created dynamic Power BI dashboards to visualize sales performance metrics.
  Conducted detailed analysis to identify sales trends, peak performance periods, and underperforming regions.
  Presented insights and recommendations to the sales and marketing teams to drive strategic decisions.
  
• Customer Retention Analysis:Objective: To understand customer retention patterns and identify factors influencing customer churn.
  Tools Used: SQL, Tableau
  
  Responsibilities:Analyzed customer data to identify retention rates and churn patterns.
  Developed Tableau dashboards to visualize customer behavior and retention metrics.
  Conducted regression analysis to identify key factors influencing customer churn.
  Presented findings to the customer service and product development teams to implement retention strategies.