Aipenova Aziza works in Suleyman Demirel University since 2015. Aziza currently teaches Data Science for undergraduate and graduate students.

Ph.D., Mathematics, Kazakh National University after al-Farabi, Almaty, Kazakhstan, 2014.
M.A., Mathematics, Kazakh National University after al-Farabi, Almaty, Kazakhstan, 2011.
B.S., Mathematics, Kazakh National University after al-Farabi, Almaty, Kazakhstan, 2009.

Professional Certificates
• Programming SAS. Part 1: Essentials, Moscow, SAS Institute, 2017
• Programming SAS. Part 2: Data Manipulation Techniques, Moscow, SAS Institute, 2017
• SAS Enterprise Guide 1: Querying and Reporting, Moscow, SAS Institute, 2017
• SAS Enterprise Guide 2: Advanced Tasks and Querying, Moscow, SAS Institute, 2017
• SAS Enterprise Guide: Anova, Regression, and Logistic Regression, Moscow, SAS Institute, 2017
• SAS Programming for R Users, Moscow, SAS Institute, 2017

Teaching:
Spring 2019 (Retake course) - MAT 251 Probability and Mathematical Statistics (B.S.)
Spring 2019: CSS 328 - Introduction to Data Analysis (B.S.)
Fall 2018: INF 423 Statistics and Visualization for Data Analysis (B.S.), CSS 631 - Data Visualization (B.S.)
Spring 2018: CSS 328 Introduction to Data Analysis (using R programming) (B.S.), CSS 530 - Statistics and Data Analysis (M.S.), INF 320 - Data and Information Management (B.S.)
Fall 2017: MAT 251 Probability and Mathematical Statistics (B.S.), INF 423 Statistics and Visualization for Data Analysis (B.S.), CSS 429 Data Analysis Systems (B.S.)
Spring 2017: CSS 328 Introduction to Data Analysis (using R programming) (B.S.), MAT 536 - Applications of Statistics to Analyze Data on Student Achievement (M.S)
Fall 2016: MAT 251 Probability and Mathematical Statistics (B.S.), INF 423 Statistics and Visualization for Data Analysis (B.S.), CSS 429 Data Analysis Systems (B.S.), MAT 705 Research methodology and methodology of teaching and education in mathematics (PhD)
Spring 2016: INF 320 Data and Information Management (B.S.), MAT 251 Probability and Mathematical Statistics (B.S., retake), Probability and Mathematical Statistics (M.S), MAT 154 - Mathematics for Computer Science 2 (B.S.), MAT 536 - Applications of Statistics to Analyze Data on Student Achievement, INF 342 - Business process design and management (B.S.), INF 496 - State Examination for Information Systems (B.S.), INF 498 - Pregraduational Internship (B.S.)
Fall 2015: Probability and Mathematical Statistics (B.S.), INF 323 Data Analysis (B.S)

Publications in Econometrics and Statistics
1. A class of nonparametric density derivative estimators based on global Lipschitz conditions. Advanced in Econometrics. Vol.36. p.591-615. 2016 (with C. Martins Filho and K. T. Mynbaev).
2. Improving bias in kernel density estimation. Statistics and Probability Letters 2014, DOI: 10.1016/j.spl.2014.07.014. With Kairat T. Mynbaev, Saralees Nadarajah, Christopher S. Withers.
3. Some asymptotic results for kernel density estimation with Lipschitz smoothness. Вестник КазНУ, серия физ.-мат. -2014. -Vol. 2, №5. -P. 106-112.
4. Жоғарғы ретті ядролардың құрылуы. КазНТУ, Вестник, серия физ.-мат. -2014. №5. C. 145-150.
5. Testing a differential condition and local normality of densities. Известия НАН РК, серия физ.-мат. -2014. -№5(297). - P.42-48. (with K. T. Mynbaev)
6. Всюду разрешимые краевые задачи для неоднородного дифференциального уравнения четвертого порядка с переменными коэффициентами. ҚазҰУ Хабаршысы, мат., мех. және инф. сериясы, №2 (69), 2011, Б.44-51. (with Б.Е.Кангужин, А.А.Жамалбекова)

Articles in Conferences
1. Qualitative and numerical analysis of Lasermodel with optical injection / International scientific practical conference "Innovations in education and science" dedicated to the 25-th anniversary of Independence of the Republic of Kazakhstan and 20-th anniversary of Suleyman Demirel University, October 14, 2016, Kaskelen, p.37-43, volume I / BaimenshinaG.K., Kumekov S.E., Aipenova A.S.
2. Principal component Analysis. ҚР ҰҒА академигі Асқар Серқұлұлы Жұмаділдаевтың 60 жылдығына арналған «Алгебра, талдау, дифференциалдық теңдеулер және олардың қосымшалары» Халықаралық ғылыми конференция. Алматы 8-9 сәуір 2016 ж.
3. Derivative estimation using kernel estimator. First International Conference “Statistical Distributions and Applications”. – Michigan, USA, 10-13 October, 2013. With C. Martins Filho and K. T. Mynbaev
4. Statistical estimation of differential expressions and application to normality testing. Proceedings of the conference “Contemporary problems of the spectral theory of operators and improvement in math teaching: Theory, methods and Experience”, Taraz, Kazakhstan, 27-28 September, 2013. With Kairat T. Mynbaev.
5. Is there a best kernel density estimator? 59th ISI World Statistics Congress. Hong Kong, China, August 25-30, 2013. With S. Nadarajah, Ch. S. Withers and K. T. Mynbaev.
6. Option values of the stochastic differential equation. Astana, Kazakhstan, 2011. With D. Kairat
7. Resolution of the free coordinate system

Research Interests: Data Science, Econometrics, Statistics, Machine Learning

1. "Prediction of rare phenomena and spatial effects on the financial and commodity markets" 2015-2017 (with Kairat T. Mynbaev). 2. "Theoretical bases and methods of construction of the vector, including those based on the intervals of the Neumann-Pearson goodness of fit to test multivariate normality of observations" 2015-2017 (with Voinov V.G., Pya Natalie).

Visiting Positions and other affiliations:
• 2014 - Visiting Intern, International Food Policy Research Institute, Washington D.C., USA.
• 2013 - Visiting Intern, Department of Economics, University of Colorado, Boulder, CO 80309-0256, USA.
• 2010 - Visiting Intern, Department Mathematics, Berlin Universitat, Berlin.