Kassymzhomart Kalkayev

@qqassym

Data Scientist

Data Science & Management Master's student based between Rome and Almaty. I specialize in Python, unsupervised ML, and LLM applications like LangGraph. Always keen to connect with fellow builders in MLOps, data engineering, and AI

Career

Experience: 1 years

Experience

Data & Political Risk Analyst Intern

EC ENERGY KAZAKHSTAN

Feb 2025 — Jun 2025

Collected and analyzed regional energy and geopolitical data, then built dashboards and reporting materials for senior leadership.

• Built automated data aggregation scripts in Python to collect qualitative and quantitative data from 10+ regional sources, structuring raw information into clean datasets for risk modeling. • Performed exploratory data analysis (EDA) on energy market trends and geopolitical metrics, uncovering statistical correlations for 15+ executive reporting suites. • Designed standardized data visualization dashboards, converting multi-variable risk scenarios into digestible charts and maps for senior leadership.

Educational Consultant / Operations Analyst

Marcus Aurelius

Mar 2022 — Aug 2025

Advised 40+ students on university applications and improved visa workflows, reporting a 90% acceptance rate and 60% fewer processing errors.

• Advised over 40 students from CIS countries on university application workflows, achieving a 90% acceptance rate. • Optimized visa application procedures by establishing comprehensive documentation workflows, reducing processing errors by 60%.

Education

Master of Science, Data Science and Management

LUISS Guido Carli

2025 — 2027

Bachelor of Science, Political Sciences and International Relations

University of Messina

2022 — 2025

Selected projects

Infrastructure Security & Threat Anomaly Detection

Built an unsupervised threat detection pipeline for 3,000+ observations using Isolation Forest and LOF, and a LangGraph multi-agent system to filter intelligence, score threats, and generate risk reports. Reported a Jaccard index of 0.78 and built an interactive dashboard for natural-language threat exploration.

Socio-Economic Forecasting & Behavioral Risk Modeling

Built an R pipeline to standardize behavioral datasets for subjective well-being forecasting across demographic cohorts. Compared four statistical and machine learning methods using 10-fold cross-validation and performed statistical diagnostics.

Geospatial Intelligence & Macro-Market Pipeline

Automated extraction of 400+ international geoinformation project entries and consolidated unstructured data into a SQL and Pandas database for categorization by technology sector.

Skills

PythonMLData ScienceSQLpandasBI tools