Public profile
@nara
Business Analyst | Data Analyst
Data engineer and analyst with 3 years of experience building production pipelines, AI-powered platforms, and data governance systems across finance, healthcare, and labor markets.
Experience, skills, projects, and achievements.
Business Analyst | Data Analyst
• Built an AI-powered labor market analytics platform processing 3M+ records, combining LLM-assisted querying, interactive visualizations, and career intelligence to support data-driven advising. • Research paper accepted (forthcoming): SET III Symposium on Entrepreneurship & Technology, 2026.
Open project• Won 1st place at BU MET Hackathon 2025 by building a sentiment-driven trading strategy with automated backtesting and an interactive portfolio performance dashboard.
Open project• Predicted dispute outcomes and automated intent detection across thousands of consumer complaints using a Naive Bayes NLP model in R, achieving 74.45% accuracy.
Open project• Built ML-based trading strategies on Boeing and S&P 500 data, generating $294 profit from $100 in backtesting.
Open project• Integrated Lightcast job-posting data with FRED macroeconomic indicators to analyze 2024 U.S. labor market trends, applying NLP and statistical modeling to evaluate hiring patterns, skill demand, and regional wage dynamics.
Open project• Classified stellar variability across 100K+ stars using kNN, Logistic Regression, SVM, and Random Forest models, with Gaussian SVM achieving 71% test accuracy.
Open projectBoston University
Oct 2024 — May 2026• Developed a scalable data integration pipeline processing 3M+ labor market records, integrating multiple data sources into warehouse-ready datasets with automated quality monitoring and anomaly detection. • Developed an AI-enabled labor market analytics platform with interactive Plotly visualizations, enabling students and faculty to explore workforce trends and generate data-driven career insights. • Designed a scalable relational database schema supporting user, advising, and labor market domains, enabling seamless integration of 5 external data sources using PostgreSQL and BigQuery.
The Build Fellowship
Jul 2025 — Sep 2025• Performed statistical analysis on a 65,000+ patient diabetes dataset, identifying statistically significant disparities in demographics and treatment outcomes that informed early-stage clinical program design. • Built Power BI dashboards to visualize patient trends and communicate analytical findings to project stakeholders
Bank VTB
Feb 2023 — Aug 2024• Developed Oracle APEX applications for real-time financial risk monitoring, enabling compliance teams to identify suspicious client activity and support regulatory reporting. • Improved query and PL/SQL performance by ~50% using DBMS Profiler, resolving reporting latency across compliance and investment operations. • Built automated data mapping workflows in PostgreSQL and Oracle, ensuring data integrity across engineering and product teams. • Cut feature rollout time by 30% by building high-throughput data pipelines, streamlining delivery and reducing downstream reporting errors.
Kazakh British Technical University
2019 — 2023Boston University
2024 — 2026Bolashak International Scholarship
