Systems, Data, and the Practice of Statistical Thinking

Practical Concepts for AI Driven Sales Coaching

Sales

Strategy

Breaking away from the ‘one-size-fits-all’ sales coaching approach, here are four transformative ideas inspired by the AI revolution to overcome the scalability challenge in sales enablement.

Aleksei Prishchepo

Implementing a Neural Network in Base R

ML

Animation

R

This small project implements a fully connected neural network using only matrix operations, a logistic activation function, and manually derived gradients. There is no…

Aleksei Prishchepo

Using Transit Time to Rethink Hotel Search

Product

Marketing

Spatial

Geospatial

Strategy

Price competition in hotel search has largely saturated, especially for leisure travel. As a result, platforms increasingly differentiate by helping users make better…

Aleksei Prishchepo

The 7-Step KPI Blueprint from Business Intelligence Analytics Perspective

KPI Design

BI

Strategy

A 7-step process of building governed, scalable KPI frameworks using XmR charts, semantic modeling, and variance analysis.

Aleksei Prishchepo

Building a Privacy-First LinkedIn Analytics Platform

App

Visualization

NLP

Python

Developing a tool that turns LinkedIn™ data export into a clear, visual overview of professional relationships, helping users see who they’re connected with, identify meaningful clusters, prioritize important contacts, clean up outdated connections, and discover new people worth engaging with.

Aleksei Prishchepo

Agentic vs Deterministic Workflows: Designing a Reliable AI Application

Agents

LLM

App

Python

A case study on designing an AI-assisted workflow, discussing agentic autonomy and deterministic control through architectural decisions and production constraints.

Aleksei Prishchepo

Building an E-Commerce Dashboard with Power BI and R

BI

Statistics

ML

Visualization

An overview of the process of building an E-Commerce dashboard using Power BI and R, covering exploratory data analysis, time series forecasting, and causal modelling.

Aleksei Prishchepo

Propensity Score Matching for Causal Analysis

A/B Testing

Statistics

R

A hands-on guide to implementing propensity score matching in R for causal inference in A/B testing scenarios using marketing data.

Aleksei Prishchepo

Building the Analytical Dashboard with Power BI and R

BI

Statistics

ML

Visualization

R

An overview of the process of building an analytical dashboard using Power BI and R, focusing on data preparation, time series forecasting, and causal analysis.

Aleksei Prishchepo

Building a Credit Risk Dashboard with Power BI and R

BI

Statistics

ML

Visualization

R

A detailed walkthrough of creating a financial risk dashboard using Power BI and R, covering data cleaning, model building, and integration.

Aleksei Prishchepo

Time-Series Clustering with R’s dtwclust Package

Time-Series

Clustering

R

This article is a practical guide for time-series clustering using the dtwclust package. The dtwclust package in R (see vignette) provides a powerful and flexible framework…

Aleksei Prishchepo

Minimum Detectable Effect (MDE) Calculation

A/B Testing

Product

Statistics

R

Minimum Detectable Effect (MDE) is defined as the smallest difference between a control and a test group that your A/B test can reliably identify as statistically…

Aleksei Prishchepo

A/B Testing: Concepts and Techniques

A/B Testing

Product

Statistics

Key components, metrics, errors, CUPED, multiple testing, peeking, and Bayesian vs frequentist approaches.

Aleksei Prishchepo

Animation of Spatial Data

Visualization

Spatial

Animation

R

Creating an animated visualization of spatial data using R

Aleksei Prishchepo

Product Cards Creation Application

App

LLM

Python

This application is designed to create product cards for an online store. It utilizes a large language model (LLM) and programming libraries to generate detailed…

Aleksei Prishchepo

Creating Anki Flashcards From List of Words

NLP

Python

This notebook demonstrates how to create Anki flashcards from a list of words. The example uses a list of German words related to “Die Stadt” (The City) and translates them…

Implementing a Local Retrieval-Augmented Generation System

RAG

NLP

LLM

Python

RAG (Retrieval-Augmented Generation) is a technology that combines the search external sources and generation using large language models. It allows for more accurate and…

Nerdy Valentine’s in Python, R, and Matlab

Python

R

Matlab

Let’s celebrate Valentine’s Day with some nerdy love! In this post, we will create heart-shaped plots using Python, R, and Matlab. These heart-shaped plots are a fun and…

Run Docker Containers Remotely with Airflow

Airflow

Docker

Airflow is a powerful tool for automating workflows. Once you start using it, you’ll likely find it a great replacement for cron jobs on Linux machines. One common use case…

BI System Blueprint

BI

ETL

In this post, I’d like to present a blueprint for a BI system that I’ve been working on. The system is designed to provide insights into the company’s performance and…

CV Week 2024

CompVis

ML

In November 2024, the Yandex School of Data Analysis (YSDA) and Yandex conducted an open online intensive course on computer vision, focusing on generative diffusion models…

Using Airflow FileSensor for Triggering ETL Process

ETL

Airflow

In this article, we will discuss how to use the Airflow FileSensor to trigger an ETL process. We will walk through the process of setting up a FileSensor in Airflow and…

European Tech Salaries

Money

R

Recently, I stumbled upon a Reddit post where someone was gathering salary data from the tech sector throughout Europe. It piqued my interest to explore how these salaries…

Python Library for Russian Macroeconomics Data

Time-Series

Macroeconomics

Python

The article introduces a Python library called sophisthse that provides access to Russian macroeconomic statistics time series published by the National Research University…

Kano Method for Prioritization of Features

Marketing

Product

Python

The Kano model is a theory for product development and customer satisfaction developed in the 1980s by Professor Noriaki Kano. The model classifies customer preferences into…

Merging Customers Records Using Graphs in Python

Python

Graphs

Traditional relational databases and spreadsheets fall short in capturing complex relationships among customers. Enter graph theory – a powerful framework for representing…

Exploring Geospatial Insights with R and rnaturalearth

R

Geo

The article showcases the utilization of the rnaturalearth package for handling geographical data. This package provides valuable tools and functions for working with…

Welcome To My Blog

News

This is the first post in my blog. Welcome!

R-bloggers Back to top