Summary:With a passion for data analytics and a drive to optimize business outcomes, I am an experienced professional in the fields of healthcare, marketing, and forecasting. I specialize in leveraging advanced analytics and machine learning techniques to extract valuable insights from complex datasets and provide strategic recommendations. Currently, I am actively involved in establishing the Data Science Practice at Syneos, where I oversee talent acquisition, mentorship, training, project pipeline management, and resource allocation. Throughout my career, I have spearheaded teams, designed AI/ML-based models, and driven forecasting and analytics operations across global markets.Business Skills:- Spearheading teams focused on client-specific models, campaign performance insights, and optimization of spend and customer targeting.- Designing and building AI/ML-based models to predict key questions on promotional investment, contributing to sales growth, ROIs, and optimal budget allocation.- Driving forecasting and analytics operations for major firms across multiple countries, managing stakeholders and providing training on forecasting tools.- Aiding brand teams with sales forecasting, campaign effectiveness measurement, target segment prioritization, and affordable coverage modeling.- Conducting extensive secondary research, making evidence-based decisions, and analyzing parameters for big market forecast scenarios.- Enriched experience in project management, working independently, and meeting short-term and long-term deadlines.Technical Skills:- Excel-VBA, R, and Python for client-specific models and campaign analysis.- Advanced analytics and machine learning for AI/ML-based models and predictive analytics.- Linear optimization models in Python for next best action strategies.- Forecasting tools for revenue estimation and market share analysis.- Dashboard development for data visualization and decision-making.- Social media analysis, competitive intelligence, and diagnostics benchmarking.- Proficiency in handling large datasets and conducting statistical analysis.