Identify and assist/collect the right data for a given customer goal and perform data cleaning and organization for it to be useable. Perform exploratory analysis on time series and tabular data. Work on providing insights to 'interesting' patterns and customer questions.
Develop learning systems for prediction, classification and clustering using time series and tabular data using Machine and Deep Learning Methods. Deploy and monitor machine learning model performance to ensure performance criteria is met
Design and develop Embedded Systems using Arduino, Raspberry Pi and PIC Microcontrollers along with required sensory interfaces and other necessary units for automation as well as applications requiring machine learning inference at the edge.
These are some of the projects that I have worked on or are ongoing.
I have worked on developinging machine and deep learning algorithms for fall detection with direction and severity using movement sensor data.
The project aimed to detect vehicles in urban settings using data from a LiDAR sensor mounted on street lights so as to ensure privacy.
Specular reflections appear when a light source is used to illuminate the scene. The geometric transformation betwen video frames was used to replace specular pixels in successive images.
Data analysis of squirrels in Central Park. Who doesnt love squirrels :)
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