I have over a decade of experience specializing in Data Analytics, Process Automation, Benchmarking along with business intelligence and reporting.Working as a Senior Consultant here in Fractal, I assist clients in analyzing, and interpreting data on different aspects of employee lifecycle management like Recruitment, Onboarding, Learning & Development, Employee Engagement and Attrition. Before joining Fractal, I was part of Gartner's Unified Benchmarking Research team. Gartner's benchmarking platform provides a valuable service for organizations looking to compare their performance against industry standards and competitors. As a research team member I was involved in collecting, analyzing, and synthesizing data to create benchmarks. I have also worked with Global Payments, which is a leading Fintech organization. I led initiatives centered around recruitment, headcount and compensation leveraging analytics to help the team in analyzing data related to recruiting team effectiveness, compensation structures, attrition and employee engagement. This experience gave me a way of looking at how we use numbers to make decisions about people at work.My recent project was aimed to integrate fragmented compensation and headcount data for the client, helping real-time analytics and resource allocation. Key features of he project were data integration, transformation, and a diagnostic dashboard for visualization. As the end result the client improved upon decision-making by analyzing differences between actual and planned headcount numbers, identifying top contributors for the variances, and understanding how changes in headcount numbers affect budgets. In another project focusing on employee attrition prediction, the primary goal was to find areas within the organization where attrition was most common. This included assessing factors such as organizational units, job levels, geographical locations, or a combination of them. My role in the project involved offering domain expertise support where in I need to collaborate with data scientists to interpret HR datasets, formulating hypotheses , and selecting relevant variables or features for predictive modeling. Additionally, the project aimed to identify specific employee characteristics indicative of attrition tendencies at a micro-level, thus contributing to the development of effective retention strategies.I also have experience working with tools like Power BI, SQL, Advance Excel, Predictive Modelling coupled with the experience in project management, stakeholder management.
