Asad Husain

Senior Data Scientist | Aug 2024 - Present

• Built and deployed a predictive analytics model to identify at-risk customers with 80% accuracy, enabling proactive retention campaigns and operational improvements to prevent customer churn
• Created Generative AI-powered system to automatically analyze pharmacy order delay patterns, reducing time to identify root causes from >1 hour to less than 5 minutes per case and accelerating operational improvements
• Created a machine learning system to predict business interruptions with >70% accuracy using operational patterns, enabling proactive resource planning and reducing operational disruptions by 30%

Data Scientist | Jun 2022 - Aug 2024

• Led the design and implementation of an explainability model for demand forecasts (using permutation importance), increasing stakeholder trust and improving supply planning and financial decisions for a multi-billion dollar CPG client
• Developed proprietary modeling tool to measure incremental business impact from strategic initiatives using a Synthetic Control, informing client market expansion decisions
• Built and deployed Gurobi-based network optimization model for national logistics provider, informing infrastructure and workforce strategy with projected $5B in 10-year cost savings
• Managed 5-member analytics team to develop Prophet time-series models predicting credit card spend across 1,500+ US firms, achieving 18% WMAPE and outperforming baseline by 6%
• Designed AnyLogic simulation of mine-to-port operations to identify bottlenecks and optimize port utilization, delivering recommendations that enabled $10M+ supply chain cost reduction for a major mining company

Assistant Manager | Jun 2019 - Oct 2020

• Predicted early stage alcohol content using regression, boosting Budweiser production line's service level accuracy by 12%
• "Coordinated cross-functional execution of $500K capital expenditure project, serving as primary liaison between internal departments and external suppliers to ensure on-time delivery

Student Data Scientist Consultant | Jan 2022 - May 2022

• Built a deep learning classification model using PyTorch in Python to identify slips, trips, falls, or other events of workers from 15-second accelerometer data to identify potential workplace hazards with 74% precision

Student Data Scientist Consultant | Jan 2022 - May 2022

• Forecasted shipping volumes per shipping lane between ports using ARIMA and ETS models per month achieving a cross-validated MAPE score of 47%

Business Analyst Intern | Jul 2018 - Dec 2018

• Optimized digital advertising campaigns using demand management techniques, generating $500K in revenue
• Introduced automation in the daily reporting routine with VBA programming in Excel increasing productivity by 25%