In addition to running our company blog and sharing ideas on LinkedIn, we’ve been fortunate to spread our knowledge through different media outlets. Give our articles a read and let us know what you think!
The Impact of Artificial Intelligence on Accounting and FinanceInstitute Of Management Accountants – January 29, 2024
From data analysis to decision-making processes, AI is reshaping the accounting and finance profession. To gain a deeper understanding of AI’s impact on the profession, IMA engaged global experts in the field and accounting and finance leaders to study the applications of AI, as well as the challenges of integrating it with management accounting work. I contributed as a technical reviewer of this research paper. Understanding Sentiment Analysis
Strategic Finance Magazine – June 1, 2023
An introductory guide to sentiment analysis – from data pre-processing (text cleansing, tokenization, POS tagging, stop word removal) to picking the appropriate sentiment methodology. (Ensemble, anyone?)
Using Machine Learning to predict conversion events (orders) for website visitors
Towards Data Science – May 2, 2022
Predicting conversion events from Google Analytics clickstream data using BigQuery ML’s logistic regression model.
Exploratory Data Analysis using click-stream data from Google AnalyticsTowards Data Science – May 2, 2022
Predicting conversion events from Google Analytics clickstream data using BigQuery ML’s logistic regression model.
Towards Data Science – April 29, 2022
Exploratory Data Analysis of Google Analytics dataset from Google Merchandise Store using BigQuery SQL and visualization via DataStudio. The New Era of AutoML
Towards Data Science – April 29, 2022
Last three years saw a meteoritic rise of Auto-ML solutions offered by big and small tech companies alike. In this article I summarized no-code AI platform offerings from Big Tech – Google, Amazon, Microsoft, and IBM. Five Data Visualization mistakes and how to avoid them
General Assembly – February 6, 2020
Most effective data visualizations that tell a story and inspire action don’t follow a set of prescribed rules. Yet, there are definitely lessons to be learned from poorly executed data visualizations, mistakes we can avoid in our work. First steps with leading data visualization programs
DataScience Central – July 23, 2019
Review of various learning opportunities available to start using leading data viz applications: Tableau, PowerBI, Google DataStudio, Qlik. Getting Started with Google BigQuery ML – Machine Learning in SQL
Towards Data Science – March 30, 2019
Google BigQuery started supporting Machine Learning algorithms in July 2018. This article will walk you through the process of participating in a Kaggle competition by using Titanic data set and predicting passengers’ survival. Best part is that all of the coding is done entirely in SQL.