Simrat Singh

Utilized Monte Carlo simulation, Poisson-Gamma, and regression techniques to forecast patient enrollments and site activation trends for optimized planning and execution of clinical trials. Reduced TAT by 40% by developing new methodology and improving time efficiency by 60% for processing Google & Adobe Analytics data. Designed work streams using SQL and Python, achieving a 50% cut in project efforts, enhancing project margins by approximately 8.5%. Standardised vendor onboarding system by automated quality checks, ensuring custom data formats aligned across stakeholders and reduced the overall effort by 60%. Managed a team of 5+ associates for multi-channel marketing across 10 brands, increased reporting efficiency by 30% and introduced new indicator to the insights. Optimised marketing efforts exceeding $600 million through strategic Marketing Mix Regression Models application. Implemented improved models, reducing forecasting errors by ~4%, enhancing understanding of channel impact and ROI for Budget Planning Exercise.

Utilised MS Excel, VBA and SQL to analyse branch revenue, providing valuable insights into financial performance as well as optimising workflows, reducing the EOD report generation by 70%. Produced dealer reports for nuanced understanding of risk factors and brokerage generation, contributing to financial landscape insights.

Utilized VBA macros to automate data retrieval, refresh calculations, and generate positioning and liquidity metrics for investment vehicles. Developed and deployed a strategy with a 45% win ratio by analysing and back-tested multiple strategies and evaluated performance metrics such as Maximum drawdown and Risk-to-reward ratio etc.