Login     Forgot Password  
Muhammad Arslan       ( Lecturer )



Cell: 003155357515      Email: muhammad.arslan@case.edu.pk

Description:
Mr. MUHAMMAD ARSLAN has done Master of Science (Major in Finance) Degree from Capital University of Science and Technology, Islamabad, Pakistan. Academically he has a sound knowledge of Financial Data Analytics, Artificial intelligence, Machine learning, and Deep learning implication in the financial World. Currently, he holds PhD admission offer from the University of Otago, New Zealand, and waiting for remote start approval. He works as a permanent faculty member at Sir Syed CASE Institute of Information Technology, Islamabad, and a Co-trainer for python data analytics. Other than this, he has more than 2 years of blended experience in the capacity of teaching, training, administration, & corporate role.

Educational Qualification:

Degree Specialization University Year
Matric Sciences B.I.S.E Rawalpindi 2010
I.Com Commerce Punjab College of information and Technology 2012
BBA Finance PMAS- Arid Agriculture University, Rawalpindi, Pakistan 2016
MS/Mphil Finance Capital University of Science and Technology, Islamabad Pakistan 2021

                                                                                                                                                                                                                               

Work Experience:

Designation From To Company
Lecturer 2021 2022 Punjab University Jhelum Campus
Lecturer 2022 Till Now Sir Syed Case Institute of Technology, Islamabad
Sales and Marketing Manager 2018 2020 Creative Educational Services
intern 2017 2018 PMAS Arid Agriculture University, Rawalpindi

                                                                                                                                                                                                                               

Research Interest:

Title Description
Financial Time Series Mainly in non parametric modelling
Machine Learning and Deep Learning Major Area of Financial Time Series forecasting under the development of hybrid techniques
Financial Modeling All major domains from Finance
Quantitative Techniques All Major Area's in quantitative research in management sciences

                                                                                                                                                                                                                               

Honors & Awards / Projects:

Year Awarding Organization Description
2019 Capital University of Science and Technology Deans Honors Award for High achievers
2021 Capital University of Science and Technology Forecasting Battles in High Frequency Data: Classical, Machine Learning, and Deep Learning Methods
2016 PMAS Arid Agriculture University Rawalpindi IS V-a-R STILL A PROLIFIC TOOL FOR EVALUATING SHOCKS? FILTERED HISTORICAL SIMULATION APPROACH THROUGH NON-PARAMETRIC QUANTITATIVE MODELS

                                                                                                                                                                                                                               


                                                                                                                                                                                                                               

Courses Taught:

Title
Financial Accounting
Financial Management
Micro-Economics
Corporate Finance
Financial Technologies
Research Methods

                                                                                                                                                                                                                               

Key Publications (Journals & Books):


                                                                                                                                                                                                                               

Key Publications (Conferences & Workshops):


                                                                                                                                                                                                                               
2/25/2022 8:14:00 AM