Naveed Ul Mustafa
Angestellt, Studentische Aushilfskraft, Technische Universität Berlin
Berlin, Deutschland
Über mich
Pursuing an Applied Mathematics degree at Technische Universität Berlin, my focus is honing my data science skills, especially in Machine Learning. I'm enriching my understanding of complex mathematical frameworks underpinning ML models, aiming to contribute significantly to this dynamic field. Concurrently, I'm expanding my knowledge beyond formal education by delving into Generative AI through external courses, empowering me to create effective AI-based applications. My journey, an engaging blend of structured education and self-learning, has fortified my theoretical knowledge and practical skills. Passionate about mathematics and automation, I'm driven to enhance efficiency and minimize resource waste. With proficiency in Python and SQL, I'm constantly refining my skills to stay at the cutting edge of data science innovation. I eagerly look forward to future opportunities to augment my capabilities and contribute meaningfully to Machine Learning.
Werdegang
Berufserfahrung von 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
1 Jahr und 9 Monate, März 2019 - Nov. 2020
Actuarial Analysts
Adamjee Life Insurance
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.
1 Jahr und 8 Monate, Aug. 2017 - März 2019
Actuarial Analysts
SIR Consultants
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).
Ausbildung von Naveed Ul Mustafa
Bis heute 3 Jahre und 2 Monate, seit Apr. 2021
Scientific Computing
Technische Universität Berlin
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.
4 Jahre und 5 Monate, Feb. 2013 - Juni 2017
Economics and Mathematics
Institute of Business Administration, Karachi
Focus on Econometrics, Timeseries Analysis, R- language
Sprachen
Englisch
Fließend
Deutsch
Grundlagen