I’m Shugyla Tazhikul, a data science and machine learning-focused student from Kazakhstan who enjoys turning complex data into clear insights and practical solutions. My background combines strong mathematical foundations with hands-on work in statistical modeling, time series, regression analysis, and optimization, along with experience building reproducible AI pipelines. I’ve also applied my skills in research and applied settings—using AI-based image analysis for SEM grain morphology in perovskite solar cell studies, optimizing data-driven workflows for experiments, and developing ML applications that I can deploy through user-facing tools. I’m especially interested in work at the intersection of data, AI, and real-world problems, where careful analysis and thoughtful engineering make an immediate impact.

Shugyla Tazhikul

I’m Shugyla Tazhikul, a data science and machine learning-focused student from Kazakhstan who enjoys turning complex data into clear insights and practical solutions. My background combines strong mathematical foundations with hands-on work in statistical modeling, time series, regression analysis, and optimization, along with experience building reproducible AI pipelines. I’ve also applied my skills in research and applied settings—using AI-based image analysis for SEM grain morphology in perovskite solar cell studies, optimizing data-driven workflows for experiments, and developing ML applications that I can deploy through user-facing tools. I’m especially interested in work at the intersection of data, AI, and real-world problems, where careful analysis and thoughtful engineering make an immediate impact.

Available to hire

I’m Shugyla Tazhikul, a data science and machine learning-focused student from Kazakhstan who enjoys turning complex data into clear insights and practical solutions. My background combines strong mathematical foundations with hands-on work in statistical modeling, time series, regression analysis, and optimization, along with experience building reproducible AI pipelines.

I’ve also applied my skills in research and applied settings—using AI-based image analysis for SEM grain morphology in perovskite solar cell studies, optimizing data-driven workflows for experiments, and developing ML applications that I can deploy through user-facing tools. I’m especially interested in work at the intersection of data, AI, and real-world problems, where careful analysis and thoughtful engineering make an immediate impact.

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Experience Level

Intermediate
Intermediate
Beginner
Beginner
Beginner
Beginner
Beginner
Beginner
Beginner
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Language

Work Experience

Research Assistant (Electrical & Computer Engineering Department) at Nazarbayev University
January 1, 2025 - June 1, 2025
Studied perovskite solar cells and implemented AI-based image analysis to improve research efficiency and accuracy. Applied Biodock software to detect and analyze grains on SEM images, improving grain boundary identification. Processed image data to measure grain size, area, and coverage ratio, and supported linking morphology features to device performance.
Research Assistant at Nazarbayev University - Electrical & Computer Engineering Department
January 1, 2025 - June 30, 2025
Studied perovskite solar cells and applied AI-based image analysis to improve research efficiency and accuracy. Used Biodock on SEM images to detect and analyze grains and grain boundaries, and then computed grain morphology metrics such as grain size, area, and coverage ratio to support research conclusions.
Research Assistant (Electrical & Computer Engineering Department) at Nazarbayev University
June 1, 2024 - December 1, 2024
Conducted experiments on organic photovoltaic devices and optimized fabrication processes. Fabricated solar cells using spin coating, thermal annealing, and vacuum deposition to improve device performance. Implemented MATLAB scripts to process and visualize current-voltage (I–V) data. Prepared graphical abstracts and visual materials to communicate experimental results clearly.
Research Assistant at Nazarbayev University - Electrical & Computer Engineering Department
June 1, 2024 - December 31, 2024
Conducted experiments on organic photovoltaic devices and optimized fabrication processes. Fabricated solar cells using spin coating, thermal annealing, and vacuum deposition, and processed current-voltage data using MATLAB scripts. Prepared graphical abstracts and visual materials to communicate experimental outcomes.
Mathematics Test Developer at Daryn.online
September 1, 2023 - January 31, 2024
Developed high-quality mathematics test materials aligned with the updated curriculum. Created multiple original test versions containing diverse, conceptually rich questions and improved student readiness for the Unified National Test (UNT) by reviewing and refining question quality and consistency.
Volunteer Instructor & Environmental Fellow at Red Crescent Society & NU Green Society
October 1, 2021 - December 1, 2023
Provided free tutoring in mathematics and English to students from low-income backgrounds through 20 structured sessions to strengthen academic confidence and performance. Participated in the “Clean Lake Taldykol” environmental campaign, collecting waste and supporting local sustainability initiatives.

Education

Master of Science in Data Science at Kazakh-British Technical University (KBTU)
September 1, 2026 - June 1, 2028
Bachelor of Science in Mathematics at Nazarbayev University
June 1, 2022 - June 1, 2026
Master of Science in Data Science at Kazakh-British Technical University (KBTU)
September 1, 2026 - June 1, 2028
Bachelor of Science in Mathematics at Nazarbayev University
June 1, 2022 - June 1, 2026
Master of Science in Data Science at Kazakh-British Technical University (KBTU)
September 1, 2026 - June 1, 2028
Bachelor of Science in Mathematics at Nazarbayev University
June 1, 2022 - June 1, 2026
Master of Science in Data Science at Kazakh-British Technical University (KBTU)
September 1, 2026 - June 30, 2028
Bachelor of Science in Mathematics at Nazarbayev University
June 1, 2022 - June 30, 2026

Qualifications

IBM Data Science Professional Certificate (In progress)
January 1, 2026 - September 16, 2026
Generative AI Engineering with PyTorch, LangChain & Hugging Face (In progress)
January 1, 2026 - September 16, 2026
Deep Learning with PyTorch, Keras & TensorFlow (In progress)
January 1, 2026 - September 16, 2026
IBM Applied Data Science with R (In progress)
January 1, 2026 - September 16, 2026
IBM MATLAB Programming for Engineers and Scientists (In progress)
January 1, 2026 - September 16, 2026
IBM Data Structures and Algorithms Specialization (In progress)
January 1, 2026 - September 16, 2026
IBM Data Analysis with Python (In progress)
January 1, 2026 - September 16, 2026
IBM Machine Learning with Python (In progress)
January 1, 2026 - September 16, 2026
IBM Applied Data Science Capstone (In progress)
January 1, 2026 - September 16, 2026
IBM Python for Data Visualization (In progress)
January 1, 2026 - September 16, 2026
Data Structures and Algorithms Specialization (University of California San Diego, Coursera) (In progress)
January 1, 2025 - September 16, 2026
Learn SQL Basics for Data Science (University of California, Davis, Coursera) (In progress)
January 1, 2025 - September 16, 2026
Data Science Professional Certificate (IBM via Coursera)
January 11, 2030 - September 16, 2026
Generative AI Engineering with PyTorch, LangChain & Hugging Face (IBM via Coursera)
January 11, 2030 - September 16, 2026
Deep Learning with PyTorch, Keras & TensorFlow (IBM via Coursera)
January 11, 2030 - September 16, 2026
Applied Data Science with R (IBM via Coursera)
January 11, 2030 - September 16, 2026
MATLAB Programming for Engineers and Scientists (IBM via Coursera)
January 11, 2030 - September 16, 2026
Data Analysis with Python (IBM via Coursera)
January 11, 2030 - September 16, 2026
Machine Learning with Python (IBM via Coursera)
January 11, 2030 - September 16, 2026
Applied Data Science Capstone (IBM via Coursera)
January 11, 2030 - September 16, 2026
Python for Data Visualization (IBM via Coursera)
January 11, 2030 - September 16, 2026
Data Structures and Algorithms Specialization (UC San Diego via Coursera)
January 11, 2030 - September 16, 2026
Learn SQL Basics for Data Science (UC Davis via Coursera)
January 11, 2030 - September 16, 2026
Data Science Summer School by Yessenov Foundation (Yessenov Data Lab)
June 1, 2025 - July 1, 2025
Data Science Professional Certificate (IBM, Coursera)
January 11, 2030 - September 16, 2026
Generative AI Engineering with PyTorch, LangChain & Hugging Face (IBM, Coursera)
January 11, 2030 - September 16, 2026
Deep Learning with PyTorch, Keras & TensorFlow (IBM, Coursera)
January 11, 2030 - September 16, 2026
Applied Data Science with R (IBM, Coursera)
January 11, 2030 - September 16, 2026
MATLAB Programming for Engineers and Scientists (IBM, Coursera)
January 11, 2030 - September 16, 2026
Data Analysis with Python (IBM, Coursera)
January 11, 2030 - September 16, 2026
Machine Learning with Python (IBM, Coursera)
January 11, 2030 - September 16, 2026
Applied Data Science Capstone (IBM, Coursera)
January 11, 2030 - September 16, 2026
Python for Data Visualization (IBM, Coursera)
January 11, 2030 - September 16, 2026
Data Structures and Algorithms Specialization (University of California San Diego, Coursera)
January 11, 2030 - September 16, 2026
Learn SQL Basics for Data Science (University of California San Diego, Coursera)
January 11, 2030 - September 16, 2026
Data Science Summer School (Yessenov Foundation - Yessenov Data Lab)
June 1, 2025 - July 31, 2025

Industry Experience

Education, Computers & Electronics, Energy & Utilities, Professional Services, Non-Profit Organization, Other