Analyse customer segmentation, sentiment on product review, and built a product recommender system
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Updated
Jan 15, 2021 - Jupyter Notebook
Analyse customer segmentation, sentiment on product review, and built a product recommender system
Multivariate Time Series Classification for Human Activity Recognition with LSTM
Customer journey analysis with PM4PY in Python.
This is a customer loyalty analysis based on historical purchase behavior in R language.
Modelling customers' behaviour for better marketing strategies. Constructing the baseline behavioural scorecard model to fasten the mortgage application process. In cooperation with Atom Bank.
Performed Consumer Behavior Analysis using Google Trends for the word Tyson Chicken, and providing recommendations
With SQL queries I explore the Sakila DVD Rental database, to present insights about customer behavior and rental patterns.
Analyzing customer interactions, purchases, and engagement on an e-commerce website 💡
Detailed analysis of a company’s ideal customers, helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers
Literature Survey, Documentation, Analysis and Results
Intelligent Algorithms website
Utilized BeautifulSoup to webscrape data and gain company insights. Also applied Random Forest algorithm to predict customer buying behaviour.
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