Public profile

Nursultan Umbetov

@nursultanum

Data Scientist / ML Engineer / AI Engineer

Open to opportunities
Python
SQL
Machine Learning

I’m a Data Scientist / ML Engineer / AI Engineer based in Astana. At the Academy of Public Administration under the President of Kazakhstan, I work as a Chief Expert in AI and Data Science and teach data analysis and machine learning.

AstanaMiddle East Technical University
GitHub portfolio

About

My portfolio covers customer behavior, HR analytics, predictive modeling, NLP and computer vision. I work with Python, SQL, scikit-learn, PyTorch, TensorFlow and FastAPI, and bring previous experience in engineering and project management at Tengizchevroil. My education includes a BSc in Petroleum Engineering with honors (Middle East Technical University), an MBA in Sustainable Development (AOGU University), and an MSc in History (AIU University).

How I can help

Practical experience in data analysis, machine learning, model evaluation and interpretation, and teaching applied AI. I can share lessons from my Python projects, public-sector digitalization work, research, and engineering project management at Tengizchevroil.

Looking to connect

Connections with DS/ML peers, exchange of technical knowledge, collaboration on applied AI projects, and Data Scientist / ML Engineer / AI Engineer opportunities, particularly hybrid or remote roles.

Career

Experience, skills, projects, and achievements.

Open to opportunitiesExperience: 13 years

Data Scientist / ML Engineer / AI Engineer

Skills

PythonSQLMachine Learningscikit-learnpandasNumPyPyTorchTensorFlowCatBoostLightGBMNLPComputer VisionRAGFastAPIGit

Selected projects

Customer activity risk model

Built a classification pipeline to predict declining customer purchasing activity. Compared four models, tuned hyperparameters, interpreted predictions with SHAP, and segmented customers by risk and profitability. Logistic Regression test ROC-AUC: 0.923; cross-validation ROC-AUC: approximately 0.898.

Open project

Predictive HR analytics

Developed models for employee satisfaction and attrition using preprocessing pipelines and Decision Trees. Added predicted satisfaction as an attrition feature and analyzed risk factors. Test ROC-AUC: approximately 0.912; satisfaction test SMAPE: approximately 13.35%.

Open project

Oil well location optimization

Compared three regions using linear regression, selected the top 200 wells from 500 candidates, and assessed profit uncertainty with 1000 Bootstrap samples. Recommended region 1 under the project assumptions: modeled mean profit approximately RUB 497.9 million and loss risk 0.90%.

Open project

Used car price prediction

Cleaned data on over 350,000 used-car listings and compared Ridge, Decision Tree and LightGBM for prediction quality, training time and inference speed. LightGBM achieved test RMSE of approximately 1616 and cross-validation RMSE of approximately 1635.

Open project

Customer purchase prediction

Engineered features from purchase history and marketing interactions to predict buying within 90 days. Trained CatBoostClassifier and analyzed feature importance. ROC-AUC on five-fold stratified cross-validation: approximately 0.76.

Open project

Dairy production and quality

Built regression and classification models for milk yield and quality, engineered nonlinear features and adjusted the quality decision threshold to control false positives. Best regression R2: 0.8319; MAE: approximately 144 kg.

Open project

Achievements

Data Science Specialist — extended programme

Yandex Practicum · 2026

Extended Data Science programme (2025–2026).

Data Science programme

Outpeer · 2025

Professional training in Data Science.

Neural Networks and Deep Learning

DeepLearning.AI · 2026

Training in neural networks and deep learning.

Improving Deep Neural Networks

DeepLearning.AI · 2026

Hyperparameter tuning, regularization and optimization.

Appreciation letter

Ministry of Science and Higher Education of the Republic of Kazakhstan · 2026

Appreciation letter received in 2026.

Appreciation letter

Marmara University, Türkiye · 2025

Appreciation letter received in 2025.

Silver medal — 23rd MOSTRATEC

International Scientific Project Olympiad MOSTRATEC, Brazil

Silver medal at the international scientific project olympiad in Brazil.

Experience

Chief Expert (AI & Data Science) / Senior Lecturer

Academy of Public Administration under the President of the Republic of Kazakhstan

Apr 2026 — Present

Develop and deliver AI and digitalization programmes for civil servants; teach machine learning and data analysis; contribute to process reengineering and automation at the Institute of Digitalization and Innovation.

Researcher (Data Science & History)

Научный институт изучения Улуса Джучи

Jul 2024 — Apr 2026

Analyze and structure data for research, integrate information from multiple sources, coordinate research projects, prepare publications and organize international conferences.

Director

Ayanomad

Aug 2020 — May 2026

Managed business operations, coordinated delivery of tasks, and analyzed the market and opportunities for business growth.

Project Manager

Tengizchevroil

Aug 2016 — Mar 2021

Managed capital projects across planning, CAPEX estimation and cost control, engineering, procurement, construction and commissioning. Coordinated cross-functional teams, contractors, tenders and stakeholders.

Project Engineer (Capital Projects)

Tengizchevroil

Oct 2013 — Aug 2016

Coordinated design, technical and construction documentation, multidisciplinary contractors and Workface Planning. Supported procurement, construction readiness, quality control and the transition from design to construction.

Education

MSc in Humanities (History)

AIU University

2023 — 2024

MBA in Sustainable Development

AOGU University

2021 — 2024

BSc in Petroleum Engineering — with honors

Middle East Technical University, Ankara

2009 — 2013