Arup Dutta Email & Phone Number

Kolkata, Wb, In

Delhi, India

Led the strategic assortment optimization project for a prominent American retailer specializing in home fragrance and body care. Spearheaded the creation of a comprehensive SKU and store-level dataset, developed advanced machine learning models to estimate product attribute weights, and implemented optimization algorithms that delivered actionable SKU recommendations. These efforts resulted in a margin increase of 8%–10%Managed a team of six to create a web-based marketing analytics tool focused on enabling data-driven decision-making. Personally contributed to backend development, covering data summarization, feature engineering, model building, diagnostics, and result generation. Played a pivotal role in the project’s success, combining strong leadership with technical expertise in marketing analytics.

Delhi, India

Led a data-driven churn reduction strategy for a leading healthcare company, resulting in a 20% increase in customer retention. Applied k-means and hierarchical clustering for precise customer segmentation, identified key churn drivers using Random Forest and Boruta for feature selection, and leveraged advanced models like XGBoost to forecast churn probabilities. Utilized Python for data wrangling and model development, and communicated insights through Tableau to guide retention strategies.Designed and implemented a comprehensive end-to-end data pipeline, transferring data from an on-premise SQL Server to Azure. Utilized Azure Data Factory for data orchestration, Azure Data Lake for raw data storage, and Azure Databricks for complex data transformations. Leveraged Azure Synapse Analytics for efficient querying, and created real-time dashboards in Power BI. Ensured secure access control and governance using Azure Active Directory and Azure Key Vault.Provided insights through deep dive analysis, identifying potential business opportunities.Conducted forecasting and LTV (customer lifetime value) analysis to support strategic decisions.Analyzed marketing campaigns and measured effectiveness using KPIs such as new contacts, leads, opportunities, and ROI.

Extensive experience was gained in extracting and processing large datasets from Snowflake databases, with data cleaning, feature engineering, and feature extraction performed to improve model performance. Machine learning models, including multilabel classification use cases, were developed and optimized, while advanced text cleaning techniques were applied for NLP tasks. Additionally, interactive Power BI dashboards were built to deliver actionable insights for stakeholders.

B.Sc, Chemisrty(Honours)

M.Sc., Chemistry