Geethanjali Boda

Asset Valuation:

• Designed and developed a robust asset valuation model using Python, integrating essential features such as file upload capability to process Excel files containing asset data seamlessly.
• Implemented advanced data processing algorithms to extract relevant information from uploaded Excel files, ensuring accuracy and reliability in handling diverse asset datasets.
• Leveraged Python libraries such as Pandas for data manipulation and analysis, enabling efficient computation of asset values based on purchase year, purchase cost, and the latest Wholesale Price Index (WPI) data.
• Ensured user-friendly interaction by developing intuitive interfaces for uploading Excel files and displaying calculated asset values, enhancing usability and accessibility for stakeholders.
• Conducted thorough testing and validation of the asset valuation model to verify its accuracy and performance across various scenarios, ensuring reliability and consistency in results.
• Collaborated with domain experts and stakeholders to refine model features and requirements, incorporating feedback to enhance the model's effectiveness in addressing real-world asset valuation challenges.
• Orchestrated the deployment of the asset valuation model on the Azure platform, leveraging cloud-native services to ensure scalability, reliability, and security of the solution.

Risk Application:

• Spearheaded the ideation and development of a cutting-edge Risk application tailored for the inspection of assets valued less than ₹50 crore, streamlining the risk assessment process.
• Pioneered the concept of a user-friendly web application, empowering clients to conduct inspections themselves, thereby reducing dependency on traditional inspection methods.
• Designed an intuitive interface that facilitates easy navigation and ensures seamless user experience, enhancing accessibility for clients with varying levels of technical expertise.
• Implemented innovative features aimed at automating repetitive tasks, resulting in a remarkable 40% reduction in workload for risk inspectors.
• Provided comprehensive training and support resources to empower stakeholders in utilizing the application effectively, fostering self-sufficiency and reducing reliance on external services.
• Devised an automated process for issuing login credentials to stakeholders through triggered email notifications, ensuring seamless access to the Risk application.
• Prepared and disseminated informative documents, including user manuals, guidelines, and FAQs, to provide stakeholders with a clear understanding of the application's functionality and benefits.

MYRA:

• Spearheaded the ideation and conceptualization of MYRA, an innovative email chatbot aimed at optimizing risk inspection case generation processes.
• Identified the need for automation in risk engineering workflows and proposed MYRA as a solution to cut down workload by 25% for risk engineers.
• Led the development team in designing and implementing MYRA's core features, including its ability to generate risk inspection cases based on stakeholder inputs.
• Utilized VBA (Visual Basic for Applications) within Excel to create a robust automation framework, integrating essential features for case creation
• Designed and implemented an intuitive user interface within Excel, allowing stakeholders to easily input necessary data and trigger automated case generation processes.
• Collaborated with the central team to ensure seamless integration of MYRA with existing systems and workflows, facilitating smooth communication and data transfer.
• Successfully helped in deployment of MYRA into production, resulting in a significant reduction in manual workload for risk engineers and improved efficiency in risk inspection case management.
• Engineered a robust Python model to analyze backend data pertaining to risk inspection case generation processes, with a primary focus on key performance indicators (KPIs) including "number of cases successfully created" and "error rates".

RIIT-PRRS:

• Spearheaded the management of the RIIT-PRRS application, ensuring uninterrupted functionality and resolving errors promptly.
• Collaborated closely with the development team to troubleshoot and rectify issues, maintaining seamless operations for stakeholders.
• Implemented timely solutions to enhance the application's performance, resulting in increased business efficiency.

CRM:

• Led the management of the Central Risk Management Application, revolutionizing workflow efficiency and reducing the workload of the central risk management team by XXXX

Hazard Heap Map:

• Designed and developed a Python-based hazard heat map model to visualize risk inspection data, effectively mapping high-hazard areas across India.
• Created visually intuitive heat maps that highlight high-risk zones, enabling underwriters to make informed decisions and mitigate potential liabilities effectively.
• Optimized the model for performance and scalability, allowing seamless processing of large datasets and rapid generation of hazard heat maps.