This is GK, I am an analytics professional with 7+ years of experience in the Data Science domain, primarily at PayPal. My focus is on solving complex analytical problems, delivering data-driven actionable insights, and visualizing data for end-users. My Expertise Includes: Causal Analysis & A/B Testing: Designing frameworks to measure incremental lifts and assessing the impact of various factors on customer behavior and conversion rates. Customer Segmentation & Churn: Developing custom segmentation models (like RFMBC) and using algorithms (like BG-NBD) to proactively reduce churn and gain deep customer behavior insights. Forecasting & Data Pipelines: Building self-serve forecasting tools (RShiny) and robust data pipelines for real-time KPI tracking during major events. I've also led teams in campaign analytics and reporting automation, significantly reducing man-hours. I’m here to offer personalized guidance on career transitions into Data Science, interview preparation (SQL/Python/Stats), and advanced analytics strategy.