Saeid Amirhaftehran

Specializing in database engineering, data labeling for computer vision, and AI model optimization: o Engineered a PostgreSQL database from scratch, reducing its size by 20% while maintaining full functionality and improving retrieval speed. o Managed data labeling and quality control, achieving a 35% increase in labeling and improved accuracy through innovative computer vision integration. o Achieved 20% higher processing speed by reducing the size of AI models while maintaining accuracy levels by PyTorch

Data Scientist specializing in advanced Machine Learning techniques for reconciliation optimization: o Developed robust Machine Learning models to automate the reconciliation of over 1 million transactions from diverse datasets. o Engineered a data processing pipeline using Python and SQL, reducing reconciliation time by over 100% compared to manual process and achieving a data accuracy rate of over 98%. o Introduced the use of simulated data for more efficient data reconciliation.

Quality Assurance professional with a data science focus on optimizing operations and data analysis: o Devised and deployed a real-time CRM system, reducing data analysis time by over 50% through full automation. Enabled timely optimal solutions for the company. o Implemented analytical techniques to assess data integrity, identify anomalies, and offer recommendations for data quality improvements, leading to a 5% reduction in calls to the call center.

Thesis: Bank transaction reconciliation using machine learning methods