AINA MUNIRAH BINTI AB RASID

Passionate and data-driven Sports Performance Analyst with a solid foundation in sports science and biomedical electronics engineering. Experienced in applying data analysis and machine learning to optimize athletic performance. Seeking a role to utilize the acquired skills in a dynamic sports organization to teach, enhance athlete performance and drive team success.

• Received consistent positive remarks for quality of care.
• Increased parents' happiness by taking on additional chores and relieving burdens.

Hiking

Baking

Reading

Kejohanan Sukan Balapan dan Padang (2018-2019)

• 4x100m (Gold Medal)
• High Jump (Gold Medal)

Festival Kebudayaan Antara Pusat Pengajian (FESTKAPP) (2018-2019)

• Sewang Dance (Runner Up)
• Zapin (Runner Up)

Kejohanan Bola Jaring Remaja Kebangsaan Ke-33 (2017)

Netball Player:

Terengganu, 2011-2013, Perlis, 2017, Universiti Malaysia Terengganu, SUKIPT, 2022, Universiti Malaysia Terengganu, MASUM, 2023, Universiti Malaysia Terengganu, MASUM, 2024

Netball Coach:

 Sukan Asasi Malaysia, 2024

• A Cluster Analysis and Artificial Neural Network of Identifying Skateboarding Talents Based on Bio-fitness Indicators, 1st RevealDNA International Conference on Innovation and Technology in Sports (ICITS), 11/2022
• Unravelling Football Performance Patterns Via Load Zone-Based Cluster Analysis, International Seminar on Madani 2023, 10/2023

• Awarded gold in Minggu Penyelidikan & Inovasi 2021 for Soccer Player Performance System (SPPS)
• Awarded silver in Minggu Penyelidikan & Inovasi 2021 for Simulation Decision Making System (SDM System)
• Awarded silver in Minggu Penyelidikan & Inovasi 2021 for Takraw Performance Monitoring System (TPMS)
• Awarded bronze in Minggu Penyelidikan & Inovasi 2021 for FIT-CAL

• Development of Skill Performance Test for Talent Identification in Amateur Skateboarding Sport, Advances in Intelligent Systems and Computing, vol 1350, Springer, Cham, 03/11/21
• A Study of Sports Performance Monitoring on Individual Sports and Team Sports Physical Fitness Performance Using Multivariate Approach, International Journal of Academic, 01/14/22
• Physical Fitness Performance Comparison based on Body Mass Index between Individual Sports and Team Sports Athletes, International Journal of Academic, 01/25/22
• Test-retest reliability of customized inertial measurement units (IMUs) in evaluating skateboarding related manoeuvres, Part P: Journal of Sports Engineering and Technology, 07/06/22
• Physical Fitness and Motor Ability Parameters as Predictors for Skateboarding Performance: A Logistic Regression Modelling Analysis, Plos One, 12/19/23
• Longitudinal Analysis of Match Load Zones and their Impact on Performance in Elite Football, Part P: Journal of Sports Engineering and Technology, 01/26/24
• A Cluster Analysis of Identifying Team and Individual Sports Athlete Based on Anthropometric, Health and Skill Related Components, Kamarudin, N.A. et al., Lecture Notes in Electrical Engineering, vol 900, Springer, Singapore, 05/15/22, 561–570
• A Cluster Analysis and Artificial Neural Network of Identifying Skateboarding Talents Based on Bio-fitness Indicators, Ab Rasid, A.M. et al., Lecture Notes in Bioengineering, Springer, Singapore, 04/18/23, 47–56
• A Machine Learning Analysis of Technical Skills and Tactical Awareness as Performance Predictors for Goalkeepers in European Football League, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 29–34
• Recent Advancements in Data Mining and Machine Learning Applications in Evaluating Goalkeepers’ Performances in Elite Football, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 1–11
• Evaluation of Goalkeepers’ Goals Conceptions from Different Saves and Shots Indicators, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 45–52
• Summary, Conclusion, Current Status, and Future Direction for Goalkeeper’s Performance in European Football Leagues, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 53–55
• An Unsupervised Analysis of Identifying Key Technical and Tactical Skills Awareness Among Top European Goalkeepers, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 35–39
• The Influence of Anthropometrics on Goalkeepers’ Penalty-Saving Performance in Elite European Football, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 13–19
• Identification of Dominant Types of Shots Received and Saves Among Top European Goalkeepers: A Significant Attribute Evaluation Technique, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 41–44
• The Relationship Between Anthropometrics Parameters and Clean Sheets of Goalkeepers in Elite European Football, Musa, R.M. et al., Data Mining and Machine Learning in Sports: Success Metrics for Elite Goalkeepers in European Football Leagues, Springer Singapore, 02/17/24, 21–28
• Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis, PLoS one, Public Library of Science, 02/08/24