Data Science Specialist at Astana Innovations
Completed tasks: Skillfully executed data cleansing processes to ensure integrity and accuracy of data used in analyses
Technologies: Python and data visualization packages, such as Matplotlib and Seaborn, to perform in-depth exploratory analysis and perform feature development, resulting in the extraction of valuable patterns and trends from the data
Reports including charts, summaries and graphs to effectively communicate results to both internal teams and stakeholders. These reports facilitated clear interpretation of the results and facilitated data-driven decision-making processes within the organization


Machine Learning Researcher at MBZUAI
Completed tasks: discovered an approach to explain the results of convolutional neural networks. (CNN) using the concept of adversarial attacks. Successfully developed a new technique improving the generation of counterfactual examples by integrating discriminant counterfactual explanations.
This innovative method incorporates attributional and self-awareness mechanisms to achieve improved results.
Precision and accuracy in generating counterfactual explanations. By combining advanced methodologies, demonstrated ability to provide a deep understanding of CNN's decision-making process, allowing for a better understanding and interpretation of their results Duration - 2 years and 4 months