Bakdaulet Zheksen
@bakdauletzheksen
I build data pipelines, business metrics, and dashboards that turn complex data into actionable insights.
What I'm looking for
I'm currently building data pipelines and AI-driven services at BCC Invest, where I developed a Customer Journey Map for its mobile application and contributed to a machine learning model for predicting securities profitability.
I collect data from external services, preprocess and chunk it, and store embeddings in a vector database for RAG applications. I also prepare data for analytics and product improvement.
At SDU AI LAB, I built Python scraping pipelines and cleaned, standardized, and prepared structured datasets for analysis and reporting.
My projects include Kazakhstan car market, fighter league, and profitable movie analyses, where I used web scraping, Python, Pandas, Excel, Power BI, and visualizations to uncover pricing, performance, and popularity trends.
Experience
Work history, roles, and key accomplishments
Data Engineer
BCC Invest
May 2026 - Present (3 months)
Developed a Customer Journey Map for the BCC Invest mobile application and contributed to a machine learning model for predicting securities profitability. Built ETL/data pipelines for data collection, preprocessing, and vector database storage for RAG applications.
Data Analyst Assistant
SDU AI LAB
Jan 2025 - Dec 2025 (11 months)
Developed data scraping pipelines using Python to collect and extract structured data from online sources. Performed data cleaning and preprocessing, including handling missing values and standardizing datasets for analysis.
Software Assistant
SDU Technopark
Jan 2025 - Dec 2025 (11 months)
Collaborated with a multidisciplinary team using Design Thinking and Agile methodologies to design software solutions. Conducted user research and designed prototypes for task management and workflow optimization applications.
Education
Degrees, certifications, and relevant coursework
SDU University
Bachelor, Information Systems
2024 -
Pursuing a Bachelor's degree in Information Systems at SDU University in Almaty, Kazakhstan.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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