- Collaborated with cross-functional teams to optimize existing ML models, resulting in streamlined data processing. - Led ad hoc analyses on sales breakage and taxation, providing actionable insights for the finance team. - Created dashboards in Tableau, offering real-time data visualizations to enhance decision-making and performance tracking.

- Developed and optimized a machine learning classification pipeline using data augmentation and boosting techniques, reducing financial discrepancies by 30%. - Enhanced ML infrastructure by integrating a real-time Tableau dashboard, improving model monitoring and decision-making for finance teams. - Conducted risk and breakage analysis for implementing new tax laws in our calculation systems.

- Trained a Bert model to predict product tax categories, resulting in cost savings in millions annually. - Designed compliance monitoring systems, helping the team identify and address non-compliance issues.- Led ad hoc analysis for risk and breakage

-Develop and maintain PowerBI reports for a fortune 50 company, utilized by support teams worldwide-Create machine learning algorithms using regression and ARIMAX to predict the number of customer tickets received for various teams worldwide-Use statistical methods to understand the role of customer service in customer churn of a search engine marketing company-Analyze various factors influencing the sale of a drug after its patent expiration using regression-Identify high-value prescribers of drugs in various therapeutic area for promotional purposes using regression and classification models-Identified various features of distributors and pharmacy benefit managers to refine rebate process