Помощник аналитика (стажёр)

Описание

Baimagambetova Tomiris
Almaty, Kazakhstan |tomiris.baymagambetova@bk.ru |+7 (747) 268 03 04
Education SDU University
, Mathematical Science Sept 2022 – May 2026
• GPA: 3.19/4.0
Specialization Data Analyst
Passionate about data-driven decision-making, predictive modeling, and automation. Interested in roles involving
data analysis, machine learning, and business intelligence to optimize processes and drive strategic insights.
Experience Teaching Assistant – Data Analysis, SDU University
Mar 2023 – Apr 2024
• Teaching Assistant for Data Analysis course: supported labs, guided students, and graded assignments. Built a
machine learning model to predict video game ratings using web-scraped data. Tools: Python, Pandas, NumPy,
BeautifulSoup, Matplotlib, Jupyter Notebook.
Professional Skills Programming Languages:
Python (Pandas, Numpy, Matplotlib, Plotly, Seaborn, SymPy, SciPy, Scikit-Learn,
Beautiful Soup)
DBMS: MySQL, PostgreSQL
Development Tools/IDE: Jupyter, Google Colab, Visual Studio Code, PyCharm,
BI Tools: Tableau, Power BI, Google Analytics, Google Sheets
Office Software: Microsoft Excel, Microsoft Word, Microsoft Power Point
Projects Video Game Rating Prediction Project
• Collected and preprocessed video game data through web scraping from a multi-page online source using
requests and BeautifulSoup.
• Focused on predicting video game ratings based on features like genre, platform, publisher, and release year.
• Performed data cleaning, feature selection, and transformation using pandas and numpy for machine learning
readiness.
• Explored initial trends and distributions in the dataset to understand relationships between features and target
variable.
• Tools Used: Python, Pandas, NumPy, BeautifulSoup, Jupyter Notebook.
Soft Skills •
Statistics
• Communication
• Teamwork
• Data Visualization
• Mathematics
• Analytical Skills
• Problem-Solving

•
Critical Thinking
• Data Cleaning and Preprocessing
Knowledge of languages. English:
B2
Kazakh: C2
Russian: C1
Turkish: B1
Interests Hobbies:
Running, Books, Music, Languages
Technology Trends: Artificial intelligence, Machine Learning, Big Data and Data Science
Creative Activities: Song writing, Videotaping, Photography