#opentowork Data Science & Analytics leader with 10+ years of experience in managing and leading high-performing data teams translating business problems and requirements into data products using analytics, advanced statistical and machine learning models to support and help make data-driven decisions, achieving total savings of $300M+ and $112B in revenue realization at various organizations like Meta (Facebook), Nike, Uber, Cigna, Dow Chemicals. Career Highlights Include (but not limited to): Meta: Achieved 23% increase in reporting accuracy in 6 months, saving up to $2M/year in recurring savings due to the development of operational efficiency metric/KPI via experimentation Meta: Improved demand forecasting by 7%, saving over $1M in operational efficiency by combining optimization and forecasting techniques Meta: $5M/yr recurring savings by brainstorming & providing thought leadership to a unique technical solution using Lagrange Optimization model to allocate & reallocate reviewers and operational resources. EY: Improved user engagement rates by 13% year over year by creation of customer segmentation for 12M members using k-means model for a footwear giant EY: $112 B in revenue realization by envisioning, scoping and delivering a data table for all inventory leaving through wholesale and retail channels for a footwear giant EY: $300M savings for a healthcare company by evaluating the efficacy of a weight loss program using hypothesis testing, linear regression and greedy match KEY SKILLS & TOOLS Technical: Python,SQL, R, PySpark, Tableau, Snowflake, Databricks, Athena, AWS, Teradata, ETL (SSIS), Hadoop, JIRA , DBT, Advanced OOPS using C++, VBA, ACL Functional: Machine Learning, Product Analytics, Metrics Reporting, Business Intelligence, Hypothesis (A/B) Testing, Technical Product Management, Agile methodologies, Digital Consumer Analytics, Stakeholder management, Data Strategy, Advanced Analytics, Statistical Modelling, Cross-functional Collaboration, Project Management, Team Leadership, Data Visualization, Communication, Key performance indicators (KPIs), Objectives and key results (OKRs)