Ualikhan Sadyk is a highly motivated and dedicated Computer Science PhD candidate with a rich academic and professional history. Currently pursuing a PhD in Computer Science at SDU University, he has demonstrated expertise in Python, Java, and various data analysis tools. Ualikhan's career journey began with a Bachelor's degree in Radioengineering, Electronics, and Telecommunication from Karaganda State University.
His academic journey includes a Master's degree in Computer Science from SDU and a period of PhD studies at Shanghai Jiao Tong University in China.
Ualikhan has played pivotal roles at SDU, including Acting Head of the Computer Science Department and Academic Program Coordinator. As the "Data Science and AI" Track Leader, he led curriculum development, faculty hiring, and mentorship of students in this specialized track. Additionally, he served as a Senior Lecturer, imparting knowledge in advanced courses and providing guidance to students.
His industry experience includes an internship at Microsoft, where he contributed to the development of an "Advanced Examination Management System." This project involved implementing features to track browser activity during examinations and utilizing machine learning for data analysis.
Ualikhan's technical strengths encompass programming languages, modeling and analysis tools, and various software and tools. His research projects, such as the "Advanced Examination Management Platform" and "Machine Learning Solutions for Same Day Delivery Services," highlight his commitment to innovative solutions in education and logistics.
In addition to his academic and professional roles, Ualikhan has served as an expert for the ASIIN Accreditation Agency in Dusseldorf, Germany, and the ACQUIN Accreditation Agency in Bayreuth, Germany. His involvement in accreditation further underscores his commitment to ensuring and maintaining high standards in education.
In recognition of his achievements, Ualikhan received the prestigious "Taiburyl" scholarship and achieved finalist status in the competitive "The next AI Guardians" competition hosted by Microsoft. His involvement in extracurricular activities, such as serving as a peer reviewer for accreditation agencies and organizing conferences, reflects his commitment to academic excellence and community engagement.
Overall, Ualikhan Sadyk is characterized by exceptional leadership abilities, a passion for continuous learning, and a dual capability for independent work and effective team collaboration. His goal is to contribute to an institution that values research, teaching, and program development while fostering a dynamic learning environment for students.

PhD in Computer Science, 2022-2025, SDU University, Kaskelen, Kazakhstan
PhD in Data Science, 2021-2023, Shanghai Jiao Tong University,Shanghai, China
MSc in Computer Science, 2019-2021, SDU University, Kaskelen, Kazakhstan
BSc in Radioengineering, Electronics and Telecommunications, Karaganda State University,Karaganda, Kazakhstan

IELTS 6.5 (Expiration date April 2024)

CSS 105 - Fundamentals of Programming, bachelor
CSS 108 - Programming Technologies and Educational Practice, bachelor
CSS 410 - Research Tools and Methods, bachelor
CSS 328 - Introduction to Data Analysis, bachelor

1. Sadyk, U., Turan, C., & Baimukashev, R. (2023, June). Overview of Deep Learning Models for Banknote Recognition. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-5). IEEE.
2. Sadyk, U., Baimukashev, R., Bozshina, A., & Turan, C. KZ-BD: Dataset of Kazakhstan Banknotes with Annotations. Available at SSRN 4606449.
3. Shaikym, A., Zhalgassova, Z., & Sadyk, U. (2023, June). Design and Evaluation of a Personalized Job Recommendation System for Computer Science Students Using Hybrid Approach. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-7). IEEE.
4. Zhalgassova, Z., Shaikym, A., Sadyk, U., Kutzhan, A., Amirkumar, M., & Assangali, B. (2023, June). MBTI-based recommendation system for extracurricular activities for high school students. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
5. Kutzhan, A., Shaikym, A., & Sadyk, U. (2023, June). A Comparative Study of the Impact of Electronic Devices on University Students' Academic Performance. In 2023 17th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-4). IEEE.
6. Sadyk, U., Duisebekov, Z., Sapargali, N., & Amirzhanov, A. (2021, November). Effective Ways to Pass Exams in Programming Disciplines and Optimize the Process of Analyzing Results. Case Study: Suleyman Demirel University. In 2021 16th International Conference on Electronics Computer and Computation (ICECCO) (pp. 1-3). IEEE.

Data Science
Machine Learning
Deep Learning
Computer Vision

Expert in Computer Science & Data Science Accreditation by ASIIN Accreditation Agency in Dusseldorf, Germany, and ACQUIN Accreditation Agency in Bayreuth, Germany

Bolashak 2023 scholarship