I use modern data analytics and predictive modeling to reveal unique insights about problems of economic and social importance. My research spans fraud detection, quantifying advertising effectiveness, health analytics, fintech, business failure prediction, sports analytics, workplace design and other predictive analytics in business. I have received multiple external grants to support my research, with a total value over £500,000. I am also extremely active in PhD supervision and am the recipient of an award in that area. 

Email a.gepp@bangor.ac.uk

2025

• E-pub ahead of printCurrent State of Accountants' Knowledge of Digital Technologies: Evidence From Australia and New Zealand
  Busulwa, R., Birt, J., Gepp, A. & Oates, G., 3 Mar 2025, (E-pub ahead of print) In: Accounting and Finance .
  Research output: Contribution to journal › Article › peer-review
• PublishedESG Investment Among Retail Investors: A Systematic Literature Review and Future Research Agenda
  Li, J., He, H., Jones, L., Gepp, A. & Lu, Y., 2025.
  Research output: Contribution to conference › Paper › peer-review
• PublishedTechnology-enabled innovations in financial markets and retail investors: a systematic literature review
  He, H., Jones, L., Lu, Y. & Gepp, A., 10 Jun 2025, In: Journal of Accounting Literature.
  Research output: Contribution to journal › Article › peer-review

2024

• PublishedAccountants’ Attitudes to Digital Technology: A Barrier to the Digital Transformation of Accounting?
  Busulwa, R., Birt, J., Gepp, A. & Oates, G., Feb 2024, Digital Transformation in Accounting and Auditing: Navigating Technological Advances for the Future. Springer, p. 153-182
  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
• PublishedAdvancing Smart Tourism Destinations: High-Resolution Data in Tourism Demand Forecasting
  Horrocks, M., Gepp, A., Todd, J. & Vanstone, B., Sept 2024.
  Research output: Contribution to conference › Abstract › peer-review
• PublishedAdvancing Tourism Demand Forecasting: A practical high-frequency framework
  Horrocks, M., Gepp, A., Todd, J. & Vanstone, B., Sept 2024.
  Research output: Contribution to conference › Abstract › peer-review
• E-pub ahead of printAnalysis of team success based on technical match-play performance in the Australian Football League Women’s (AFLW) competition
  Van der Vegt, B., Gepp, A., Keogh, J. & Farley, J. B., 4 Aug 2024, (E-pub ahead of print) In: International Journal of Performance Analysis in Sport. 18 p.
  Research output: Contribution to journal › Article › peer-review
• E-pub ahead of printAn investigation into accounting and business students’ employability beliefs
  Kercher, K., Todd, J., Gill, C., Bennett, D. & Gepp, A., 4 Apr 2024, (E-pub ahead of print) In: Accounting Education. 34, p. 321–344
  Research output: Contribution to journal › Article › peer-review
• PublishedAn investigation of data-driven player positional roles within the Australian Football League Women's competition using technical skill match-play data
  Van der Vegt, B., Gepp, A., Keogh, J. W. L. & Farley, J. B., Jun 2024, In: International Journal of Sports Science and Coaching. 19, 3, p. 1130-1142 13 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedDetecting Financial Statement Fraud: An Alternative Evaluation of Automated Tools Using Portfolio Performance
  Yee, A., Gepp, A., Kumar, K., Todd, J. & Vanstone, B., Jun 2024, In: Journal of Forensic and Investigative Accounting. 16, 1, 13 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedExploring the interplay between equity groups, mental health and perceived employability amongst students at a public Australian university
  Gill, C., Todd, J., Bennett, D. & Gepp, A., 1 Sept 2024, In: Research in Higher Education. 65, 6, p. 1316-1339 24 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedFood fraud is a growing economic and health issue – but AI and blockchain technology can help combat it
  Gepp, A. & Tiwari, M., 2 Apr 2024, The Conversation.
  Research output: Contribution to specialist publication › Article
• PublishedLost in Translation? The Required Vs. Actual Technology Skills of Accountants
  Busulwa, R., Birt, J., Gepp, A. & Oates, G., Feb 2024, Digital Transformation in Accounting and Auditing: Navigating Technological Advances for the Future. Springer, p. 121-151
  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
• PublishedTaking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud
  Gepp, A., Kumar, K. & Bhattacharya, S., Jun 2024, In: Accounting and Finance . 64, 2, p. 1569-1588
  Research output: Contribution to journal › Article › peer-review
• PublishedUsing Machine Learning Techniques to Assess the Financial Impact of the COVID-19 Pandemic on the Global Aviation Industry
  Halteh, K., AlKhoury, R., Adel Ziadat, S., Gepp, A. & Kumar, K., Mar 2024, In: Transportation Research Interdisciplinary Perspectives. 101043.
  Research output: Contribution to journal › Article › peer-review
• Published世界で深刻化する食品犯罪、産地偽装問題　AIとブロックチェーンでの対策に期待
  Gepp, A. & Tiwari, M., 2024, Project Design Online.
  Research output: Contribution to specialist publication › Article

2023

• PublishedA Big Data Framework to Address Building Sum Insured Misestimation
  Roberts, C., Gepp, A. & Todd, J., 28 Aug 2023, In: Big Data Research. 33, 100396.
  Research output: Contribution to journal › Article › peer-review
• PublishedAdapting deep learning models between regional markets
  Tonkin, I., Gepp, A., Harris, G. & Vanstone, B., Jan 2023, In: Neural Computing and Applications. 35, 2, p. 1483–1492
  Research output: Contribution to journal › Article › peer-review
• PublishedAI threatens to add to the growing wave of fraud but is also helping tackle it
  Jones, L. & Gepp, A., 10 Aug 2023, The Conversation.
  Research output: Contribution to specialist publication › Article
• E-pub ahead of printDeep learning applications in investment portfolio management: a systematic literature review
  Novykov, V., Bilson, C., Gepp, A., Harris, G. & Vanstone, B., 18 Dec 2023, (E-pub ahead of print) In: Journal of Accounting Literature.
  Research output: Contribution to journal › Article › peer-review
• PublishedEmpirical validation of ELM trained neural networks for financial modelling
  Novykov, V., Bilson, C., Gepp, A., Harris, G. & Vanstone, B., Jan 2023, In: Neural Computing and Applications. 35, 2, p. 1581-1605 25 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedFactors influencing the choice of technique to launder funds: The APPT framework
  Tiwari, M., Ferrill, J., Gepp, A. & Kumar, K., Sept 2023, In: Journal of Economic Criminology. 1, 100006.
  Research output: Contribution to journal › Article › peer-review
• PublishedMethods of performance analysis in women's Australian football: A scoping review
  Van der Vegt, B., Gepp, A., Keogh, J. W. L. & Farley, J. B., 13 Mar 2023, In: PeerJ. 11, e14946.
  Research output: Contribution to journal › Article › peer-review
• PublishedModernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report
  Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Feb 2023, In: Pacific-Basin Finance Journal. 77, 101906.
  Research output: Contribution to journal › Article › peer-review
• PublishedModernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study
  Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Jun 2023, In: Pacific-Basin Finance Journal. 79, 102011.
  Research output: Contribution to journal › Article › peer-review
• E-pub ahead of printPitching business school researcher profiles
  Faff, R., Mathuva, D., Brosnan, M., Hoffmann, S., Albu, C., Ali, S., Axelsen, M., Cornwell, N., Gepp, A., Gill, C., Honey, K., Malik, I., Mehrotra, V., Moses, O., Ratiu, R. V., Tan, D. & Tuszkiewicz, M. A., 21 Sept 2023, (E-pub ahead of print) In: Journal of Accounting Literature.
  Research output: Contribution to journal › Article › peer-review
• PublishedResearch ideas matter: Guidance for research students and early career researchers
  Duncan, K., Gepp, A., Craig, J. & O'Neill, H., 1 Dec 2023, In: Pacific-Basin Finance Journal. 82, 102153.
  Research output: Contribution to journal › Article › peer-review
• PublishedSuccesses, failures and lessons learned from developing Data Analytics programs within Business Schools in multiple countries, one of which won a national award
  Gepp, A., Sept 2023.
  Research output: Contribution to conference › Paper › peer-review
• PublishedThe Impact of Housing Tenure on Financial Wellbeing Among Elderly Australians
  Gignac, G., Gepp, A., O'Neill, T. J. & Xue, R., 27 Dec 2023, In: Social Indicators Research. 171, p. 655-675
  Research output: Contribution to journal › Article › peer-review
• PublishedThe Quest for Optimal Trade Execution: Statistical Models vs Reinforcement Learning
  Tonkin, I., Gepp, A., Harris, G. & Vanstone, B., Sept 2023.
  Research output: Contribution to conference › Paper › peer-review
• PublishedThe Role of Data Analytics within Operational Risk Management: A Systematic Review from the Financial Services and Energy Sectors
  Cornwell, N., Bilson, C. M., Gepp, A., Stern, S. & Vanstone, B. J., Jan 2023, In: Journal of the Operational Research Society. 74, 1, p. 374-402
  Research output: Contribution to journal › Article › peer-review
• PublishedUsing Data Analytics to Distinguish Legitimate and Illegitimate Shell Companies
  Gepp, A., Tiwari, M. & Kumar, K., Apr 2023.
  Research output: Contribution to conference › Paper › peer-review

2022

• PublishedCredit Rating Forecasting Using Machine Learning Techniques
  Wallis, M., Kumar, K. & Gepp, A., 1 May 2022, Research Anthology on Machine Learning Techniques, Methods, and Applications. United States: IGI Global, p. 734-752 19 p.
  Research output: Chapter in Book/Report/Conference proceeding › Chapter
• PublishedImproving decision making in the management of hospital readmissions using modern survival analysis techniques
  Todd, J., Gepp, A., Stern, S. & Vanstone, B., May 2022, In: Decision Support Systems. 156, 113747.
  Research output: Contribution to journal › Article › peer-review
• PublishedPerformance analysis in women's Australian football: A review of current literature, challenges, and its potential for future research
  Van der Vegt, B., Farley, J. B., Gepp, A. & Keogh, J. W. L., 1 Feb 2022.
  Research output: Contribution to conference › Paper

2021

• PublishedAdvanced Statistics with Applications in R, Eugene Demidenko, 2020, Wiley Series in Probability and Statistics, John Wiley and Sons USA
  Gepp, A., 5 Jul 2021, In: Journal of the Royal Statistical Society Series A (Statistics in Society). 184, 4, p. 1610-1611
  Research output: Contribution to journal › Review article › peer-review
• PublishedAudit Data Analytics
  Gepp, A. & Johnson, R., 1 Sept 2021, Auditing: A Practical Approach with Data Analytics. Johnson, R. N. & Wiley, L. D. (eds.). 2nd ed. United States: John Wiley & Sons
  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
• PublishedEstimation of a Term Structure Model of Carbon Prices through State Space Methods: The European Union Emissions Trading Scheme
  Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 1 Jun 2021, In: Accounting and Finance . 61, 2, p. 3797-3819
  Research output: Contribution to journal › Article › peer-review
• PublishedEstimation of a term structure model of carbon prices through state spaces methods: a pitch
  Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 8 Feb 2021, In: Accounting Research Journal. 34, 1, p. 106-112
  Research output: Contribution to journal › Article › peer-review
• PublishedFinancial Literacy and Financial Strategies: The mediating role of financial concerns
  Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Aug 2021, In: Australian Journal of Management. 46, 3, p. 437-465
  Research output: Contribution to journal › Article › peer-review
• PublishedGlobal money laundering appeal index: application of principal component analysis
  Tiwari, M., Gepp, A. & Kumar, K., 20 Oct 2021, In: Journal of Money Laundering Control. 26, 1
  Research output: Contribution to journal › Article › peer-review
• PublishedLifting the Numbers Game: Identifying key input variables and a best-performing model to detect financial statement fraud
  Gepp, A., Kumar, K. & Bhattacharya, S., 1 Sept 2021, In: Accounting and Finance . 61, 3, p. 4601-4638 38 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedLSMRealOptions: Value American and Real Options Through LSM Simulation
  Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 26 Jun 2021
  Research output: Other contribution › peer-review
• PublishedModelling Oil and Copper Commodity Prices Through Term Structure Estimation: New R Package NFCP useful in future commodity pricing research
  Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 1 Jul 2021.
  Research output: Contribution to conference › Paper › peer-review
• PublishedNFCP: N-Factor Commodity Pricing Through Term Structure Estimation
  Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 13 Jan 2021
  Research output: Other contribution
• PublishedShell Companies: Using a hybrid technique to detect illicit activities
  Tiwari, M., Gepp, A. & Kumar, K., 6 Jul 2021.
  Research output: Contribution to conference › Paper

2020

• PublishedA Review of Money Laundering Literature: The State of Research in Key Areas
  Tiwari, M., Gepp, A. & Kumar, K., 18 Mar 2020, In: Pacific Accounting Review. 32, 2, p. 271-303 33 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedBankruptcy Prediction of Australian SMEs and Large Companies
  Halteh, K., Gepp, A. & Kumar, K., 1 Jun 2020.
  Research output: Contribution to conference › Paper › peer-review
• PublishedFKF.SP: Fast Kalman Filtering Through Sequential Processing
  Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C., Vanstone, B. J., Luethi, D., Erb, P., Otziger, S. & Smith, P., 18 Dec 2020
  Research output: Other contribution
• PublishedMoney Laundering: Using a hybrid approach to detect illicit shell companies
  Tiwari, M., Gepp, A. & Kumar, K., 1 Jun 2020, p. 35.
  Research output: Contribution to conference › Paper › peer-review
• PublishedProducing actionable data-driven insights to improve athlete and team performance
  Van der Vegt, B., Gepp, A., Johnman, M. & Vanstone, B. J., 1 Feb 2020.
  Research output: Contribution to conference › Paper
• PublishedText Box 7.1 Fraud and corporate psychopathy
  Croom, S., Erdelyi, R., Gepp, A. & Mills, R., 2020, Corporate Psychopathy. Fritzon, K., Brooks, N. & Croom, S. (eds.). United Kingdom: Palgrave Macmillan, p. 201-202 2 p.
  Research output: Chapter in Book/Report/Conference proceeding › Chapter
• PublishedThe future of raising finance - a new opportunity to commit fraud: a review of initial coin offering (ICOs) scams
  Tiwari, M., Gepp, A. & Kumar, K., 1 May 2020, In: Contemporary Crises. 73, 4, p. 417-441 25 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedVariable transformation to a 2×2 Domain Space for Edge Matching Puzzles
  Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings. Fujita, H., Fournier-Viger, P., Ali, M. & Sasaki, J. (eds.). Germany: Springer, p. 210-221 12 p. (Lecture Notes in Computer Science; vol. 12144).
  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
• PublishedVariable Transformation to a 2x2 domain space for Edge Matching Puzzles
  Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020.
  Research output: Contribution to conference › Paper › peer-review

2019

• PublishedCan economic sanctions lead to fraud? Nations might turn to virtual currencies if slapped with restrictions
  Tiwari, M., Gepp, A. & Kumar, K., 1 May 2019, In: Fraud Magazine. 34, 3
  Research output: Contribution to journal › Article › peer-review
• PublishedDo News and Sentiment play a role in Stock Price Prediction?
  Vanstone, B. J., Gepp, A. & Harris, G., 1 Nov 2019, In: Applied Intelligence. 49, 11, p. 3815-3820 6 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedFinancial Applications of Semidefinite Programming: A Review and Call for Interdisciplinary Research
  Gepp, A., Harris, G. & Vanstone, B. J., 27 Sept 2019, In: Accounting and Finance .
  Research output: Contribution to journal › Article › peer-review
• PublishedFinancial literacy amongst elderly Australians
  Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Apr 2019, In: Accounting and Finance . 59, S1, p. 887-918 32 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedFinancial Literacy and Financial Decision-making: The mediating role of financial concerns
  Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Apr 2019.
  Research output: Contribution to conference › Paper
• PublishedFinancial well-being amongst elderly Australians: The role of consumption patterns and financial literacy
  Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 30 Sept 2019, In: Accounting and Finance .
  Research output: Contribution to journal › Article › peer-review
• PublishedHarnessing Investor Sentiment Using Big Data Analytics
  Johnman, M., Gepp, A. & Vanstone, B. J., 2019, In: The Australasian Journal of Applied Finance. 2019, 3
  Research output: Contribution to journal › Article › peer-review
• PublishedHow to Improve Teaching Using Blended Learning
  Gepp, A. & Kumar, K., 27 Dec 2019, Theoretical and Practical Approaches to Innovation in Higher Education. Makewa, L. N. (ed.). United States: IGI Global, p. 80-90 11 p.
  Research output: Chapter in Book/Report/Conference proceeding › Chapter
• PublishedImproving Mortality Models in the ICU with High-Frequency Data
  Todd, J., Gepp, A., Richards, B. & Vanstone, B. J., 1 Sept 2019, In: International Journal of Medical Informatics. 129, p. 318-323 6 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedInvestigating Healthcare Contacts of Dialysis Patients by Age and Gender
  Todd, J., Gepp, A., Vanstone, B. J. & Richards, B., 27 Feb 2019, In: BMC Health Services Research. 19, 1, p. 1-8 8 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedUsing Customer Information and Bayesian Techniques to Enhance Persistence Modelling
  Johnman, M., Gepp, A. & Vanstone, B. J., 1 Jun 2019, p. 87.
  Research output: Contribution to conference › Paper

2018

• PublishedAn Introductory Note on Big Data and Data Analytics for Accountants and Auditors
  Gepp, A. & Parker, M., 2018, Ivey Publishing.
  Research output: Other contribution
• PublishedAutomatically Generating and Solving Eternity II Style Puzzles
  Harris, G., Vanstone, B. J. & Gepp, A., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Mouhoub, M., Sadaoui, S., Ait Mahomed, O. & Ali, M. (eds.). Germany: Springer, p. 626-632 7 p. (Lecture Notes in Computer Science (LNCS)).
  Research output: Chapter in Book/Report/Conference proceeding › Chapter
• PublishedBig data techniques in auditing research and practice: Current trends and future opportunities
  Gepp, A., Linnenluecke, M. K. & O'Neill, T. J., 1 Jun 2018, In: Journal of Accounting Literature. 40, p. 102-115 14 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedConsumption pattern, financial literacy and financial well-being: the course of retirement
  Xue, R., Gepp, A., Stern, S., O'Neill, T. & Vanstone, B. J., 1 Jul 2018.
  Research output: Contribution to conference › Paper
• PublishedFinancial-distress prediction of Islamic banks using tree-based stochastic techniques
  Halteh, K., Kumar, K. & Gepp, A., 22 Jun 2018, In: Managerial Finance. 44, 6, p. 759-773 15 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedGuest editorial
  Dunstan, K. & Gepp, A., 1 Apr 2018, In: Pacific Accounting Review. 30, 2, p. 130-134 5 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedMarket reactions to ASIC media releases: abnormal returns around ASIC “Name and Shame” disclosures
  Hall, L., Earea, D., Gepp, A., Harris, G., Kelly, S. & Vanstone, B. J., 1 Jul 2018.
  Research output: Contribution to conference › Paper
• PublishedPredicting FTSE 100 returns and volatility using sentiment analysis
  Johnman, M., Vanstone, B. J. & Gepp, A., 1 Nov 2018, In: Accounting and Finance . 58, S1, p. 253-274 22 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedText Mining and Automation for Processing of Patient Referrals
  Todd, J., Richards, B., Vanstone, B. J. & Gepp, A., 28 Mar 2018, In: Applied Clinical Informatics. 9, 1, p. 232-237 6 p.
  Research output: Contribution to journal › Article › peer-review
• PublishedThe Effect of Sentiment on Stock Price Prediction
  Vanstone, B. J., Gepp, A. & Harris, G., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Mouhoub, M., Sadaoui, S., Ait Mahamed, O. & Ali, M. (eds.). Germany: Springer, p. 551-559 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
  Research output: Chapter in Book/Report/Conference proceeding › Chapter
• PublishedThe Financial Consequence of Integrity: Using Automated Fraud Detection for Investment
  Yee, A., Gepp, A., Kumar, K. & Vanstone, B. J., 2018.
  Research output: Contribution to conference › Paper
• PublishedUsing Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk
  Halteh, K., Kumar, K. & Gepp, A., 16 May 2018, In: Risks. 6, 2, 55.
  Research output: Contribution to journal › Article › peer-review

2017

• PublishedBig Data and ICU scoring systems
  Todd, J., Richards, B., Vanstone, B. J. & Gepp, A., 21 Jul 2017.
  Research output: Contribution to conference › Paper
• PublishedBond Business School, Bond University and intelliHQ
  Vanstone, B. J. & Gepp, A., 21 Jul 2017.
  Research output: Contribution to conference › Paper

2025

• Wales Innovation Network (WIN) Small Grant Fund (£4,981)

  This will fund two workshops that will bring a network of academics together to prepare bids to fund a substantial research programme.

  7 Mar 2025 – 30 Sep 2025

  Activity: Other (Contributor)

2024

• Mitigating Customer Churn - Phase 2

  Implementing machine learning models to develop an optimal strategy to mitigate customer churn with targeted interventions.

  1 Sep 2024 – 30 Sep 2025

  Activity: Consultancy (Consultant)
• 3RD INTERNATIONAL CONFERENCE OF THE JOURNAL OF INFORMATION SYSTEMS

  Invited Panel Speaker on "Transforming Numbers into Insights: The Role of AI/ML in Advancing Business Practices"

  24 Jun 2024

  Links:

  • https://www.monash.edu/indonesia/our-research/3rd-international-conference-of-the-journal-of-information-systems/agenda
  Activity: Participation in Academic conference (Speaker)
• Predicting Customer Churn

  Creating a machine learning algorithm to predict customer churn likilyhood.

  1 Feb 2024 – 30 Aug 2024

  Activity: Consultancy (Consultant)

2023

• JCB Data Dashboard

  Creating a data dashboard for JCB to showcase data from their production facility.

  1 Nov 2023 – 1 Apr 2024

  Activity: Consultancy (Consultant)

• Skills & Innovation voucher scheme - Snowdon Timber Products Ltd - Midi

  25/08/2024 – 31/07/2025 (Active)

• Skills & Innovation voucher scheme - Kodergarten - Maxi

  01/05/2024 – 31/07/2025 (Active)

• Skills & Innovation voucher scheme - Phoenix LBS - Midi

  01/05/2024 – 31/07/2025 (Active)

• S-FIS Data Analytics User Engagement

  22/03/2024 – 11/10/2024 (Finished)