Annie George

About Annie George

I lead Data Science & Decision Intelligence across forecasting, measurement, and experimentation, turning messy signals into decision-ready systems executives can trust. My edge is owning the full operating loop from instrumentation to planning (KPI alignment, validation gates, governance, scenario views, and monitoring) so decisions hold up as conditions change.I started close to the systems and the data, where one broken metric or pipeline can mislead an entire organization, shaping my focus on measurement credibility and production reliability.Today, I build planning engines that connect forecasts and scenarios (growth, demand, web traffic) to real trade-offs leaders can invest, including profit-aware measurement like product return risk.I operationalize targeting and personalization through decision-readiness standards for planning and propensity/uplift workflows, with calibration tests, experimentation rigor, and data-quality and drift safeguards that prevent silent degradation.I also bring probabilistic customer economics (LTV/BTYD) and segmentation into acquisition strategy, and apply responsible GenAI with observability and feedback signals for risk detection and product-issue discovery.I scale impact through leadership cadence and talent, coaching DS/MLEs, running design/readout reviews, and setting standards that make analytics durable beyond launch.

Experience

1. Senior(Staff) Data Scientist - Measurement, Forecasting & Ai Governance

   McKesson

   May 2025 — Present

   Led forecasting + measurement strategy for growth markets and surge/emergency planning, embedding scenario outputs into quarterly exec planning and weekly ops reviews to improve budget and capacity decisions. • Drove the transition from Excel-based forecasting/decks to production Databricks workflows (pipelines, scheduled runs, MLflow, dashboards), cutting manual effort ~60% and reducing cycle time from days to hours. • Instituted decision-readiness governance (validation/backtesting, assumptions, data quality + observability) across marketing and supply chain models, reducing degradation ~40% and accelerating delivery of reliable planning capabilities.

Education

• College of Engineering Trivandrum

  Bachelor of Technology, Civil Engineering

• Virginia Commonwealth University - School of Business

  Master's degree

  2017 — 2019

• NYC Data Science Academy

  Certificate in Data Science, Predictive Modeling and Big Data

Skills

• Stored Procedures
• Statistical Data Analysis
• Requirements Analysis
• Numpy
• Data Presentation
• Opencv
• Tensorflow
• Software Development
• Presentation Skills
• Python
• Programming
• Data Visualization
• Microsoft Sql Server
• Text Mining
• Unix
• Data Modeling
• R
• Machine Learning
• Web Scraping
• Mongodb
• Business Intelligence
• Hadoop
• Mqseries
• Pandas
• Forecasting
• Data Analytics
• Db2
• Natual Language Processing
• Leadership
• Big Data Analytics
• Software Development Life Cycle (Sdlc)
• Analytics
• Github
• Systems Analysis
• Scikit-Learn
• Tableau
• Sas Enterprise Miner
• Mapreduce
• Mysql Workbench
• Collaborative Problem Solving