* Most importantly, fixed multi-channel attribution.* Implemented a statistical basis for investigating marketing channels.* Devised a new method in the user prompt analysis for faster inference.* Implemented the whole Machine Learning pipeline and lifecycle.* Devised two different approaches for multi-channel attribution so that users can examine the extremes.* Implemented a Machine Learning Evaluation metric for multi-channel attribution so that all users can see how "healthy" the results are.* Implementing deep learning models to estimate the multi-channel attribution.* (ONGOING) Implementing a method that converts a "zero-sum-game" into a "positive-sum-game" algorithm to see future attributions if you make one or multiple changes in your marketing strategy.

Teaching python and data science concepts to individuals and corporates

Working on designing ML algorithms that could fit any type of tabular dataset

Working on computer vision and deep learning problems in UAV's

Working on data analysis, machine learning, computer vision and robotics