Business & Data Analyst
Boston University — M.S. Applied Business Analytics (’26)
Python · SQL · ML · Dashboards · Data Pipelines
Hi, I’m Dinara.
Business & Data Analyst focused on building scalable analytics solutions that transform complex data into actionable insights. I specialize in structured data modeling, interactive dashboards, and predictive analytics that support strategic decision-making.
I’m currently pursuing a Master’s in Applied Business Analytics at Boston University, with a B.S. in Information and Communication Technology from Kazakh-British Technical University. My background combines information systems and full-stack engineering, and my work spans AI-assisted workflows, machine learning models, and end-to-end data pipelines using Python, SQL, and modern visualization tools.
I’m particularly interested in applying analytics and AI to real-world business problems where technical rigor meets measurable impact.
Outside of analytics, I enjoy traveling, building disciplined habits, and training for a half marathon.
Projects
Inertia Trading – Boeing & S&P 500
Analyzing short-term trading behavior in Boeing using rule-based strategies, machine learning classification, and clustering, benchmarked against the S&P 500. Includes day trading simulations and cross-stock behavioral analysis.
Words, Locations, and Prices
Airbnb analysis in Copenhagen exploring neighborhood patterns, listing language, and pricing signals with interactive visuals.
Job Market Analysis 2024
Conducted a comprehensive analysis of the 2024 U.S. job market by integrating Lightcast job-posting data with FRED macroeconomic indicators and applying machine learning, NLP, and statistical exploration to model hiring trends, skill demand, gender disparities, and regional wage patterns, publishing insights in an interactive Quarto website.
You Like This Song…But Will George Like It?
User behavior classification with Spotify streaming data to predict preference patterns and key drivers.
Clustering Pokémon
A hierarchical approach to character grouping using clustering methods and similarity analysis.
Vortex Sentiment Adaptive Volatility (VSAV)
Hackathon project building a sentiment-aware volatility strategy with backtests and interactive reporting.
Say My Name
Unpacking emotion and language in Breaking Bad using R text mining and sentiment analysis.
Complaint Classifier
Naïve Bayes model to classify consumer complaints and predict dispute outcomes.
Market Basket Insights
Association rule mining to discover product co-purchase patterns and actionable bundles.
Skating through Data
Forecasting hockey player salaries using statistical analysis and machine learning methods.
Console to Category
Predicting video game sales outcomes using classification trees and model comparison.
Voices of the City
Analyzing Vancouver’s 311 service requests to uncover trends, hotspots, and operational insights.
Filters projects as you type.