Shadan Alam Kaifee

• Work closely with stakeholders to translate business requirements into actionable machine learning use cases. • Perform exploratory data analysis, feature engineering, and statistical analysis to generate insights. • Developed and deployed ML models to predict HS codes within SAP, improving trade compliance accuracy by 70%.

• Analyzed complex datasets using numpy, pandas, matplotlib, and seaborn, improving stakeholder decision-making efficiency. • Performed feature engineering and developed machine learning models, improving predictive accuracy by 40%. • Created reports, tested model performance in the SAP system, and documented test results for business stakeholders.

• Collaborated with product architects and stakeholders to gather and analyze data requirements. • Performed data extraction and exploratory data analysis (EDA) on large datasets (50M+ records) to identify patterns, correlations, and actionable insights. • Communicated findings to both technical and non-technical stakeholders through detailed reports and presentations.

• Worked with stakeholders to gather and document business requirements for data-driven projects. • Translated complex requirements into actionable user stories and functional specifications to guide project development. • Conducted data analysis using Microsoft Excel to support business decisions and identify process improvements.

• Supported the engineering team in designing, debugging code, and testing project components. • Gained hands-on experience in version control and code management using Git and GitHub.

Bangalore, India