Predicting customer churn
Used machine learning to develop a model that can predict which customers are likely to churn, so that businesses can take proactive steps to retain them.
Optimizing supply chain
Developed a machine learning model to optimize a client's supply chain, reducing costs and improving delivery times
Detecting fraud
Built a machine learning model to detect fraudulent transactions, helping a financial services client to protect its customers from fraud
Recommending products
Developed a machine learning model to recommend products to customers, based on their past purchases and browsing behavior
Segmenting customers
Used machine learning to segment a client's customer base into different groups, so that the client can tailor its marketing and sales efforts more effectively.
Developing a chatbot
Built a chatbot for a customer service client, to answer customer questions and resolve issues quickly and efficiently.
Extracting sentiment from social media
Developed a natural language processing model to extract sentiment from social media data, so that a client can track customer satisfaction and identify potential problems.
Generating product descriptions
Built a natural language processing model to generate product descriptions for a client's e-commerce website, saving the client time and resources.
Developing an image classification model
Built a deep learning model to classify images, helping a client to automate its product inspection process.
Fire detection
Developed A deep learning model was developed to detect fires in regular surveillance cameras, helping the client develop a new security system.
Predicting future events
Built a deep learning model to predict future events, such as customer churn or stock market movements, helping clients to make better business decisions.