Rudresh MS

Experienced Business Analyst transitioning into Data Analytics, leveraging data to drive strategic decision-making and operational efficiency. Skilled in automating data processes, developing advanced models, and delivering actionable insights. Collaborative team player enhancing productivity and optimizing workflows across departments. Committed to utilizing analytical skills to support data-driven strategies and deliver measurable impact in diverse business environments. Seasoned collaborator adept at meeting needs, improving processes, and exceeding requirements in team environments. Diligent worker with strong communication and task prioritization skills.

• Optimized Aviation Operations: Analyzed operational data for the aviation industry in South Africa, leading to optimized flight schedules, maintenance schedules, and procurement processes, resulting in reduced operational costs and increased efficiency.
• Enhanced HR Travel and Expense Management: Managed HR analytics for travel and expense management systems across the USA, UAE, UK, Japan, India, Germany, and Korea, achieving enhanced cost control and policy compliance.
• Streamlined Probation Management: Developed and implemented analytics-driven probation management processes across multiple countries, significantly improving employee retention and performance tracking.
• Implemented Air Ambulance Process: Led successfully implementing an air ambulance process, deriving necessary analytics and workflows to ensure efficient and timely medical evacuations.
• Improved Dental Hospital Operations: Conducted in-depth analysis of patient data at a dental hospital, leading to improved patient scheduling, resource allocation, and overall service delivery.
• Optimized Hiring and Recruitment Processes: Analyzed hiring and recruitment data, optimized candidate sourcing strategies, and reduced time-to-hire, resulting in more effective recruitment processes and improved talent acquisition outcomes.

Predictive HR Analytics: Employee Attrition Prediction Model

Employee Attrition Machine Learning Model: Developed a machine learning model using Python to predict employee attrition based on various factors such as performance, engagement, and work-life balance. The model provided actionable insights to HR teams, helping them implement targeted retention strategies and reduce turnover rates.

Agribuzz (Hiring App for Landlords)

Developed "Agribuzz," a VB.NET application designed to connect Landlords with available farm workers. The application facilitated the hiring process by allowing farmers to post job requirements effectively addressing labour shortages in the agricultural sector.