Results-driven AI Data Scientist with over 3 years of experience in the financial services and agricultural sector. Adept at leveraging advanced machine learning algorithms, statistical analysis, and data mining techniques to drive data-driven decision-making. Proven track record of developing predictive models that have significantly reduced loan default rates, optimized credit scoring processes, and improved customer segmentation strategies. Strong communicator with the ability to translate complex data insights into actionable business strategies
● M. Jackson, G. Marvin, and M. G. R. Alam, “A machine learning approach for employee retention Prediction,” in 2021 IEEE Region 10 Symposium (TENSYMP), 2021| Link: https://ieeexplore.ieee.org/document/9550921
● M. Jackson, G. Marvin, and A. Chakrabarty, “Robust ensemble machine learning for precision agriculture,” in 2022 International Conference on Innovations in Science, Engineering and Technology
●Majwega Jackson, (IC4IR) 2021. “A Machine Learning Approach to Season Prediction Based on Agricultural Input Orders '' (International Conference on 4th Industrial Revolution and Beyond). DOI: https://doi.org/10.1007/978-981-19-2445-3_13
●Majwega Jackson, (CUGH) 2022. “A machine Learning Approach to Farmer’s Health Prediction Based on Agro-Chemical Protective Gadgets Owned” (Consortium of Universities for Global Health): E- Poster Presentation
January 2021 - September 2021: Huawei Certified ICT Associate-Artificial Huawei Artificial Intelligence Technologies Intelligence (HCIA-AI)
October 2021 - June 2022: Huawei Certified ICT Associate-Cloud Computing Cloud Computing2
Python for Machine Learning: Coursera - On going
Data Science: IBM through Coursera - On Going
Getting Started with Python: Google through Coursera - Ongoing
M. Jackson, G. Marvin, and A. Chakrabarty, “Robust ensemble machine learning for precision agriculture,” in 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2022, pp. 1–6. | DOI: 10.1109/ICISET54810.2022.9775879
G. Marvin, M. Jackson, and M. G. R. Alam, “A machine learning approach for employee retention prediction,” in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1–8. | DOI: 10.1109/TENSYMP52854.2021.95509212
Majwega Jackson, (IC4IR) 2021. “A Machine Learning Approach to Season Prediction Based on Agricultural Input Orders '' (International Conference on 4th Industrial Revolution and Beyond). DOI: https://doi.org/10.1007/978-981-19-2445-3_13
Majwega Jackson, (CUGH) 2022. “A machine Learning Approach to Farmer’s Health Prediction Based on Agro-Chemical Protective Gadgets Owned” (Consortium of Universities for Global Health): E- Poster Presentation