the searle company limited
Karachi, PakistanJun 2024 – Aug 2024
Data Analytics & ML Intern
Key Achievements
CNN Defect Detection with Transfer Learning
Built a CNN-based defect detection system using PyTorch ResNet50 and transfer learning, achieving a 40% reduction in manual QC time and a 30% accuracy improvement over the prior baseline.
CNNTransfer LearningPyTorch
SKU-Level Demand Forecasting
Developed SKU-level demand forecasting models using ARIMA and Prophet, reaching 90% accuracy and cutting inventory costs by 18% through improved stock level planning.
ARIMAProphetTime Series
Tableau Operational Dashboards
Designed and deployed Tableau dashboards tracking defect rates and inventory KPIs across production lines, enabling data-driven decisions that contributed to 10% operational expense savings.
TableauData VisualizationAnalytics
Technical Skills
ML
- CNN & Transfer Learning
- Time Series Analysis
- Demand Forecasting
Tools
- PyTorch
- ARIMA & Prophet
- Tableau
- Python