LinkedIn Analytics Web Application
A local-first web application that transforms LinkedIn Takeout exports into structured analytics on roles, industries, and geographic reach using NLP, unsupervised learning…
Business Intelligence & Analytics that survive statistical scrutiny
I’m Aleksei Prishchepo, a Business Intelligence and Analytics professional with a systems engineering background and hands-on experience building and operating data-driven businesses.
My focus is practical analytics: defining metrics, building models, and supporting decisions under real-world constraints.
Metrics should be defined before being visualized. Models should explain before they predict. Uncertainty should be acknowledged, not hidden.
If something cannot be measured or validated, it should not drive strategy.
This site documents practical analytics work: real problems, real constraints, and the trade-offs involved in using data responsibly.
I work at the intersection of business, data, and statistics. My focus is not dashboards for their own sake, but analytical outputs that directly support decisions.
If this matches your needs, let’s talk.
Defining metrics that reflect real business performance.
SQL-first, decision-oriented dashboards built for clarity.
Forecasting cash flow, revenue, and expenses with built‑in uncertainty.
Designing and analyzing experiments to answer does this actually work?
Data foundations: ETL/ELT, and reproducible workflows.
Translating analytical results into concrete recommendations.
Below are a few representative projects that reflect how I approach business analytics.
Explore more projects in the Projects section. Need something like this? Let’s discuss.
I occasionally write on analytics, statistics, and business decision-making.
Explore more posts in the Blog section.
Have a data or analytics problem worth solving? Get in touch.