Data Scientist

Описание

Aidana Abdukarimova
Al Farabi 9, Astana, Kazakhstan
� 8-707-422-4057
#abdukarimovaid@gmail.com �
github.com/aifdem Education
Astana IT University
Sep. 2022 – July 2025
Bachelor of Information Technology in Mathematical adn Computational Science 3.45/4.00 GPA
Relevant Coursework •
Linear Algebra
• Calculus 1/2/3/4 •
Database Management
• Probability and Statistics •
Ordinary Differential
Equations •
Numerical Methods
• Finite Element Method
Professional Development Data Science course by Outpeer
Oct. 2023 – May 2024
https://programs.outpeer.kz/ds •Engaged in computer vision, utilizing techniques such as image processing, ob ject detection, and segmentation.
• Implemented Linear Regression, Logistic Regression, and Decision Trees for predictive modeling tasks.
• Applied Deep Learning concepts to develop Convolutional Neural Networks (CNNs) for image classification tasks.
• Developed a strong understanding of mathematical concepts essential for data science and machine learning applications.
Pro jects Numerical Option Pricing of Cash-or-Nothing Call Option
|Matlab, FEM May 2024 - June 2024
• Achieved an accuracy of 0.0001 (4 decimal places) with quadratic bases functions and0.001 (3 decimal places)
with linear bases functions,
• Used Crank–Nicolson–Rannacher timestepping for the temporal discretization Finite Element Method(Galerkin Method
with linear and quadratic bases functions) for spacial discretization.
• Minimized numerical errors by 99.57%through detailed error analysis and corrective measures.
Sberbank Russian Housing Market |Python, Pandas, Numpy, Scikit-Learn, Scipy February 2024 – March 2024
• Achieved a Kaggle score of 0.33354 in the competition.
• Employed ensemble learning techniques including AdaBoost, Gradient Boosting, and Random Forest regressors to
enhance predictive performance
• Conducted comprehensive model evaluation utilizing cross-validation across various regression algorithms
• Leveraged Google’s EDA guidelines to efficiently sеlесt119impactful features from an initial pool of 290, addressing
multicollinearity, and encoding categorical data for enhanced model performance.
Skills Programming Languages
: Matlab, Python, C++
Data Science : Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, SciPy, PyTorch, SQL
Languages : English (C1), Russian, Kazakh
Honours and Achievements Tech Orda Program
|Astana Hub with Digital and Space Ministry Oct 2023 – May 2024
• Selected as a grаntholder, awarded 600,000 tenge (1,500 USD)for professional development courses.
Certificate of Honor |Outpeer.kz and Astana Hub Oct 2023 – May 2024
• Received a Certificate of Achievement for outstanding performance, ranking among the Top-10 studentsin the ”Data
Science” course.