Saim Nasir

Results-oriented Data Scientist with specialized expertise in Computer Vision and MLOps. Proven track record of building end-to-end machine learning pipelines, from raw data preprocessing to deploying interactive GUIs. Currently driving operational data integrity as a Management Trainee Officer at S.

Zia-ul-Haq & Sons, ensuring 100% accuracy in high-volume enterprise resource planning (ERP) systems. Seeking to transition into a technical role to leverage advanced skills in TensorFlow, Python, and Predictive Modeling to solve complex business problems.

Management Trainee Officer (MTO) - S. Zia Ul Haq & Sons

(2024-12)

• Data Quality Assurance: Orchestrate the entry and validation of daily operational data into the corporate ERP system, maintaining a 99.9% accuracy rate critical for supply chain decision-making.
• Financial Reconciliation: Conduct rigorous monthly reconciliation of high-volume financial logs against physical inventory challans, identifying and resolving discrepancies to ensure audit compliance.
• Process Optimization: Streamlined manual data logging procedures using Advanced Excel, significantly reducing retrieval time for senior management reporting.
• Cross-Functional Collaboration: Serve as the primary data liaison between Finance and Logistics departments, ensuring seamless information flow and data consistency across business units.

BS - Data Science - Virtual University of Pakistan

Undergraduate Diploma - Artificial Intelligence - NED University (Collab. with Crux Analytics)