Nurlan Khamzin

AI/ML Engineer, Full Stack (short-term project)

Tata Consultancy Services – Microsoft

Tata Consultancy Services is an IT services and consulting company.

Listed as a short-term full-stack AI/ML engineering project; no duties or outcomes are provided.

Azure AI Engineer, Materials Management

Norsec Delta Projects – Chevron EBU MSP

Built data pipelines, curated Databricks datasets, and dashboards for materials management and upstream analytics; integrated automated data enrichment.

• Analyzed large operational datasets to identify patterns, improve data quality, and prepare high-accuracy inputs for predictive models • Built SQL-based transformations and curated datasets in Databricks to support upstream analytics, reporting, and model-driven workflows • Enabled automated FIRM data enrichment through an inference pipeline built with Logic Apps, Databricks, and Document Intelligence • Created PowerBI dashboards and performance metrics to monitor data reliability, model outputs, and operational KPIs using DAX models

Data Science & AI Engineer; Senior Business Analyst; Reporting BI Data Analyst

Chevron – Eurasian Business Unit

Chevron is an integrated energy company involved in oil and gas.

Advanced from BI reporting and business analysis into data science and AI at Chevron; delivered 7 ML/AI MVPs, including work associated with >$5M in avoided LPO and a predictive-maintenance tool associated with >$2M in avoided potential losses.

• Delivered 7 ML and AI MVPs for upstream on Azure ML/Azure AI Foundry using frameworks like TensorFlow and PyTorch, and implementing Agentic AI and RAG applications in Azure, preventing LPO of >$5M and reducing worktime by 50% • Developed predictive and statistical models using Python (scikit-learn, TensorFlow, PyTorch, hyperparameter tuning) to support operational forecasting, anomaly detection, and optimization initiatives • Designed and maintained curated datasets for forecasting and analytics, applying SQL, feature engineering, and time-series analysis

GIS & Data Analysis Intern

Champaign County Regional Planning Commission

A regional planning agency serving Champaign County, Illinois.

Built a county 3D map and developed and containerized a Django database application for an energy-efficiency project.

• Created a 3D map of the county using LiDAR raster data in ArcGIS, QGIS, Pandas, GeoPandas, and Shapely • Developed a web database using Django for an energy efficiency project as a Junior Backend Developer • Utilized Docker to containerize the energy efficiency application, enabling efficient deployment and scalability

Master of Science, Geographic Information Science

University of Illinois at Urbana-Champaign

Bachelor's, Land Management

S. Seifullin Kazakh Agrotechnical University