Naveed Ul Mustafa

- Support for research on AI algorithms for object recognition and classification - Assist in research on machine learning detection solutions - Assistance in training and testing neural networks for object recognition and tracking - Support for current research projects - Testing and trial of the developed solutions in simulation and reality - Participation in test drives for automated driving

Research & Reporting. Data Collection & Analysis (Gather and analyze experience statistics to estimate population mortality, morbidity, lapse, persistency, and maturity rates). Training (Work with management to develop and promote reserving insurance products properly). R- Modelling (Use mathematical techniques and statistical concepts in order to determine and assess the risk inherent in a different scenario). Record keeping & Documentation.

Data Collection & Data Analysis (calculate Earned Premium, Earned Exposure, Paid Claims, Outstanding Claims, Average Premium, Burning Cost, Loss Ratio & Ultimate Claims). Manage & update existing client records (Responsible for updating periodic Reserving files for Motor & Other Lines of Insurance Business). Research & Report Writing (Reconcile figures from Analysis to the published Financials of the company).

My degree in Scientific Computing has paved a path for deep immersion into Machine Learning. This has been reinforced by courses in "Machine Learning" and "Architecture of Machine Learning Systems", broadening my knowledge base. Further, I delved into the intersection of mathematics and biology through courses on Mathematical Modelling of Biological Neural Networks, which honed my technical skills and unveiled the mathematical structures underpinning learning models. I am also learning LLMs.

Focus on Econometrics, Timeseries Analysis, R- language