Key Details Improved accuracy of cycle predictions by up to 54.2%. Challenge Prediction of irregular women cycles Solution Integration of neural networks for menstrual cycle prediction Technologies and tools Python Client Flo is a smart period tracker that accurately predicts women’s menstrual cycles, ovulation and fertile days. Challenge: improve predictions of irregular cycles for application … Read more
Key Details Automated processes and improved customer experience. Challenge Train recommendation algorithm based on sparse data Solution Predictive analytics module for e-commerce platform Technologies and tools Python, Scikit-learn, Implicit, Docker Client The Client is an e-commerce provider who cooperates with more than 50 brands. The Client was interested in a solution for generating single-brand recommendations. … Read more
Key Details Increased revenue 2x times due to improved customer segmentation. Challenge Improve debt collection effectiveness with the help of predictive analytics Solution A machine learning model for predicting the probability of promise to pay Technologies and tools Python data analysis ecosystem, VPN Checkpoint, SQL Server, Lightgbm package Client The Client is a debt collection … Read more
Key Details Improved accuracy of an activity recognition model by 48%. Challenge Predicting tense moments in basketball games Solution Activity recognition model Technologies and tools Python Client An international IoT company that provides new kinds of experiences to audiences at concerts and sporting events. Challenge: predicting tense moments in basketball games ESSID Solutions client needed … Read more
Key Details Improved movie recommendation function by 25%. Challenge Deliver fresh personalized recommendations to every user Solution Custom recommendation engine powered by machine learning Technologies and tools Python, SQL; Spark, Nginx, Flask-API, PostgreSQL, Spark Parquet Client The Client operates in the Smart TV digital home entertainment market. It’s a leading premium video-on-demand service, which allows … Read more
Key Details A 20% higher customer retention rate within the 1st three months after deployment. Challenge Reduce customer churn on a betting platform Solution Customer churn prediction software Technologies and tools Python Client Sports betting company that stands out among other online bookmakers as a reliable company that strives to create a long-term association with … Read more
Key Details Reduction of costs and time spent on manual topic retrieval & classification. Challenge Costly and time consuming customer feedback analysis Solution Automated review collection and analysis Technologies and tools Python, Kafka, Elasticsearch, Celery Client Wargaming is an international game developer and publisher with an audience of over 150 million. Challenge: time-consuming customer feedback … Read more
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