Data really powers everything that we do.

The domain of Data Science brings with itself a variety of scientific tools, processes, algorithms, and knowledge extraction systems from structured and unstructured data alike, for identifying meaningful patterns in it.

Here are some of our accomplished projects.

SPORTS BETTING

This betting model is developed to generate prediction and possible odds to bet for upcoming soccer matches held across the globe. By applying the theory of classification and implementing models like XGBOOST, Decision Trees, Poisson distribution and ELO rating the model can predict +70% accuracy. The model is further getting trained with sentiment analysis data to create more accurate prediction. The application is getting enhanced as currently we are working to implement Tennis prediction.

Technologies:

Python, XGBOOST, Decision Trees, Random Forest, ReactJS, MongoDB, Kafka, Redis, AWS.

MCQ TEST ANALYSIS

Measure the ability of a student [Weakness & Strength]

Using Rasch and the Logistic regression model to determine the difference between ability and difficulty

Estimating the abilities and difficulty parameters using a normal distribution library called PYMC3

UNDERWATER STARFISH DETECTION

Use the satellite-enabled live object detection method

Use ELO Ver: 3 and Tensor Flow to detect starfish from other marine habitats