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BS

Bektursyn Shaimerden

@Aurelium

Data Professional

I am a data professional who bridges the gap between complex technical solutions, systematic process design, and high-level business strategy.

About

My expertise spans building automated data pipelines, developing executive-level Power BI dashboards, and implementing Machine Learning models to drive data-driven decision-making

Career

Experience: 2 years

Experience

Business Development Assistant

Procter & Gamble Kazakhstan

Consumer goods company.

Jan 2022 — Sep 2022

Managed sales and distribution data, reconciled reporting discrepancies, and produced business performance reports.

• Managed and consolidated large-scale retail sales and distribution datasets from major regional clients (such as the Magnum store chain) to ensure data integrity • Performed comprehensive data reconciliation and discrepancy analysis across corporate accounting documents, resolving reporting errors with external stakeholders • Designed, verified, and distributed weekly and monthly business development performance reports to support data-driven decision-making

Analyst

ADAMED Pharma

Pharmaceutical company.

Jan 2023 — Nov 2023

Improved CRM data workflows and automated distributor report uploads; contributed to sales planning and performance analytics.

• Managed and optimized data extraction pipelines from the internal CRM system, ensuring accurate reporting and comprehensive data alignment across departments • Developed Python automation scripts to streamline data workflows, reducing manual effort by automating sales and stock report uploads from Asian distributors to Microsoft Azure cloud storage • Co-authored Monthly Business Review (MBR) analytics, designed data-driven sales plan split models, and calculated performance-based premium metrics for corporate stakeholders

Researcher

ISCTE - Instituto Universitário de Lisboa

University institute in Lisbon, Portugal.

Jan 2024 — Aug 2024

Developed computer vision and machine learning pipelines and models for intelligent control and edge computing research.

• Conducted advanced R&D in Machine Learning and Computer Vision, developing state-of-the-art models for intelligent control systems and edge computing devices • Engineered efficient data preprocessing and data augmentation pipelines using Python (OpenCV, NumPy, Pandas) to handle complex unstructured visual and sensor datasets • Trained, evaluated, and optimized deep learning architectures (including Convolutional Neural Networks and Edge TPU deployment), significantly improving inference speed and model accuracy

Data Analyst

BI Group

Kazakhstan-based construction and real estate development group.

Nov 2025 — Present

Builds Power BI reporting and SQL/Python workflows, and works on contractor master data and anomaly detection.

• Designed, developed, and optimized enterprise-level Power BI dashboards with complex DAX measures, providing high-level executives and the CEO with critical, data-driven business visualizations • Engineered and automated end-to-end data workflows by developing Python (Selenium) web-scraping scripts and integrating MS Outlook to automate daily screenshot captures and automated report distribution to company stakeholders

Summer internship

Regional Electric Grid Company “Energosystem” LLP

Regional electric grid company.

Completed a summer internship; no responsibilities or outcomes are listed.

Education

Bachelor of Engineering and Technology, Automation & Control

Gumarbek Daukeyev Almaty University of Power Engineering and Telecommunications

2017 — 2021

Bachelor of Economics, Economics

National Research University “Moscow Power Engineering Institute”

2018 — 2021

Master of Science, Machine Learning & data mining

Al-Farabi Kazakh National University

2021 — 2023

Skills

PythonSQL (PostgreSQL, MS SQL)MongoDBSnowflakeApache SparkApache KafkaApache AirflowdbtDatabricksAirbyteHadoopDockerGitpippoetryTableauPandasNumPyMatplotlibSeaborn