SANDIP KHANT

• Effective in Stake holder engagement across levels (Directors, Model risk Management, Data architects, Product Owner) at client organization.
• Managed team of data scientists, data engineers, fostering talent development and consistent project success.
• Translated business requirements into technical specifications, ensuring alignment between project objectives and deliverables.
• Fraud Prediction Model for ACH Transactions was built to predict Fraudulent Transactions. As success measure, considering operation staff capacity, for Top Daily 30 alerts, was able to save 46% of Fraud loss in monetary values, with false positives of 1.20 out of 10, and captured 14.5% high worth fraudulent transactions.
• Designed Metadata driven Data architecture and Developed custom data engineering pipelines for efficient data processing. This solution helped to bring disintegrated semi structured and structured data across different geographies at single platform and eventually helped customer to gain business insights and holistic view of overall business spread across various markets and make intelligence based decision.
• Text mining using NLP techniques for Topic extraction, Sentiment analysis and Intent Classification using RASA NLU Chatbots Framework. This solution was able to classify both Sentiment and Intent with overall 68% accuracy for Intent Classification and 83% accuracy on Sentiment Classification.

• Enhanced data-driven decision making by implementing Statistical and Machine learning models and algorithms.
• Collaborated cross-functionally with stakeholders, ensuring alignment on key initiatives and project goals as well as to define possible hypothesis
• Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
• Conducted exploratory data analysis to identify essential variables to build robust models as well as feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
• Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.

• Designing Metadata driven Reporting Framework and build custom data visualization reports related to Financial Asset Management to support executive-level strategic decision making.
• Conducted thorough data validation procedures to ensure the accuracy of all deliverables.

Understanding Functional Specification, Data Modeling, Report Query formation and Report development using Actuate eRD Pro for Government wing of Family welfare service.

For one of the leading Telecom provider in UK, understanding business requirement, Building Physical data model using existing Data Mart and building Reports to bring insights on actual resource consumption and efficiency of telecom network across europian region.