About me

I am an experienced data scientist from Almaty, Kazakhstan. I enjoy turning complex data into simple, beautiful, and intuitive visualizations.

My work involves creating analytical solutions that are not only functional and user-friendly but also visually appealing. I add a personal touch to every project and ensure it stands out and is easily understood. My goal is to convey your data and ideas in the most creative way. I also have research experience and have developed effective image processing algorithms based on ensemble methods. My work helps organizations make informed decisions based on data.

What I'm Doing

  • Data analysis icon

    Data Analysis

    Professional analysis of data to uncover meaningful patterns and insights.

  • Data visualization icon

    Data Visualization

    Creating clear and intuitive visual representations of complex data sets.

  • Machine learning icon

    Machine Learning

    Developing and implementing machine learning models to solve real-world problems.

  • Research and development icon

    Research and Development

    Conducting research and developing innovative algorithms for data processing and analysis.

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Resume

Education

  1. Al-Farabi Kazakh National University

    06/2024

    Master of Science: Computer Engineering

  2. Al-Farabi Kazakh National University

    07/2022

    Bachelor of Science: Computer Science

Experience

  1. Data Analyst | Jusan Garant

    07/2024 - Current

    Working in a leading insurance company, I focus on data analysis and visualization projects to support business decision-making and enhance operational efficiency.

  2. Data Analyst | Keyhorse LLP

    10/2022 - 06/2024

    Digitalization of public and private organizational services. I analyze the service as a business process, change them as a whole, improve the process and digitize so that everyone can receive the service without leaving home.

  3. Financial Analyst | Quick Money LLP

    04/2020 - 06/2022

    Created a Data processing Model which at the input is given information from customer profiles and the output data was the credit score of the customer or organization. The model facilitates the work of employees in lending, investing, and rejects the human factor. The model was written in Python.

  4. Data Analyst | ACT Kazakhstan

    11/2018 - 03/2020

    Collaborated with large companies, analyzing their activities, predicting business features, and conducting surveys among employees and customers. Utilized tools like MS Excel, MS Power BI, and Python to create insightful reports, which were presented to both internal stakeholders and cooperating companies.

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