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YM

Yerzat Maulenov

@YerzatM

ML Engineer/ Data Scientist

ML Engineer, MSc Data Science @Boston University 4+ years as a Data scientist: Oil & Gas and Consulting (ex - big4)

Open to

Research collaborationStartup collaborationJoining competitions & hackathonsProject collaborationHiring & referrals

Career

Experience: 5 years

Experience

Data Scientist

TengizChevroil

Oil and gas producer in Kazakhstan, operated as a joint venture.

Apr 2023 — Present

Built a privacy-risk NLP model and supporting pipeline and dashboards across 1,000+ SharePoint sites; led monthly governance training for 2,000+ employees.

• Built an NLP text-classification model to detect documents containing PII / confidential / sensitive information across 1,000+ SharePoint sites, flagging files with overly broad access. • Designed the data pipeline feeding the model – automated ingestion, labeling, and recurring scoring workflows • Built Power BI dashboards on data from 1,000+ sites to surface model output and track privacy-risk metrics for stakeholders. • Led monthly data-privacy / M365 training for 2,000+ employees, improving adoption of governance practices.

Data Scientist

KPMG

Global professional services firm providing audit, tax, and advisory services.

Nov 2021 — Apr 2023

Developed an internal NLP chatbot, utilization analytics for 300+ employees, and SQL data models for an application with 5,000+ users.

• Built an NLP-driven chatbot in Microsoft Teams to auto-resolve routine internal inquiries. • Developed a utilization-analytics model/dashboard over 300+ employees, giving leadership data-driven capacity and staffing insights. • Designed and maintained SQL data models backing a 5,000+ user application, ensuring data quality for downstream analytics. • Delivered enterprise-scale analytics apps end to end (design, build, test, deploy) and trained end users on adoption.

Business Analyst

Digital Transformation Center

Jul 2021 — Nov 2021

Analyzed government subsidy processes and worked with the Agriculture Ministry on a more transparent distribution approach; the resume claims reduced processing time but gives no measure.

• Conducted process analysis and identified areas for improvement, resulting in a significant reduction in time. • Developed process maps and workflows to identify bottlenecks and inefficiencies. • Analyzed current business processes in government services; mainly engaged in the field of granting subsidies. • In collaboration with Agriculture ministry developed a more transparent, fair and effective way of distribution of subsidies.

Education

MSc, Data Analytics

Boston University

2026

Bachelor, IT Management

Astana IT University

2022

Cambridge International A-level Certificate

Nazarbayev Intellectual School

2018

Achievements

Full-ride scholarship recipient

Boston University · 2026

Skills

PythonRSQLscikit-learnPyTorchTensorFlowXGBoostCatBoostNLPdeep learningfeature engineeringmodel deploymentPySparkApache SparkSpark SQLHadoop MapReduceAzureGoogle CloudAWSGit