Streamlining Product Development with Inventory Management Techniques: Using ABC and XYZ Analysis for Keyword Categorisation and Prioritisation

by Nikolay Donets – April 16, 2022 · 6 min read

Analysis of texts (app reviews, emails, chats, phone transcripts) is essential for proper product development planning. Clusterization of texts and extraction of keywords can help organise a backlog of projects, identify those with the biggest impact. How to make it less manual and optimised?


Are facial recognition systems so bad?

by Nikolay Donets – July 11, 2019 · 2 min read

Forbes posted an article London Police Facial Recognition ‘Fails 80% Of The Time And Must Stop Now’. The question is, are facial recognition systems so bad in reality? To estimate it quantitively let’s rephrase the question to the following one: what is the probability that an individual identified as a criminal is a real offender?


Mindmap on A/B tests designing and experiments

by Nikolay Donets – May 25, 2019 · 8 min read

Udacity has a quite interesting course on A/B testing. I’ve made a mind map for one of the lessons Designing and Experiment to better understand the mechanics of tests. Also, there is a python script for empirical estimation of the required group size for a experiment. It’s a modified version of the R script by Udacity and uses a binary search to speed up computations.


On filling missing data of collected feedback

by Nikolay Donets – March 21, 2019 · 8 min read

The Lifeist (previously Namaste Technologies Inc.) product Uppy collects anonymous information about patients’ symptoms, side effects, and the desired effects of a medicinal cannabis intake. When analysing the data collected, it appears some data points are missing. In order to make better predictions, our algorithms need to make informed guesses about what the missing values might be, based on the data we have from the overall respondents and strains. In this article, several approaches to solve this problem are explained.