Understanding the patterns
behind employee attrition.
What makes employees stay?
Exploring the factors associated with employee attrition, then comparing logistic regression, random forest, and neural network models.
DATA SCIENCE · MACHINE LEARNING · RESEARCH
I’m Akash. I turn complex data into clear insights, predictive models, and better business decisions.
London, Ontario, Canada
01 / SELECTED WORK
Understanding the patterns
behind employee attrition.
Exploring the factors associated with employee attrition, then comparing logistic regression, random forest, and neural network models.
Combining daily sales with store metadata to explore seasonality, promotions, and trading patterns, with a 60-day Prophet forecast for a selected store.
02 / PUBLISHED RESEARCH
IJSREM · JANUARY 2023
A closer look at how stablecoins are held and used across networks and issuers. The paper examines supply concentration, on-chain activity, transaction value, and shared ownership.
AKASH BISWAS · DOI: 10.55041/IJSREM17448
From the published paper
03 / THE PERSON BEHIND THE DATA
I’m Akash Biswas, a data science and machine learning practitioner with a foundation in business analysis. My work spans predictive modeling, exploratory analysis, and blockchain research.
I bring research experience from IEM Labs and a data science internship at Inmovidu Tech, alongside postgraduate studies in AI, machine learning, and business analysis at Fanshawe College.
More about me on LinkedInPython, SQL, R, Pandas, Scikit-learn, machine learning and deep learning.
Exploratory analysis, time series forecasting, data visualization, and research synthesis.
ECBA certified. Business analysis, Agile and Waterfall workflows, stakeholder-focused reporting.