Working in the AI team to provide high quality results for Afiniti clients. Evaluates customer requests and prepare methods that provide value-added answers to the clients. Develop solutions that give critical insights to the clients. Use classification, clustering, machine learning and statistical models. Test models and algorithms on datasets of very different dimensions.

Worked on several R&D projects in CVML (Computer Vision and Machine Learning Lab)Top Projects Smart Social Distancing Monitor to Fight COVID - 19• Used YOLO and deep sort to detect and track people in the frame• Used OpenCV to further process and generate the number of Violation of the 6 ft rule Automatic Cricket Commentary Generation using LSTM• Used VGG-16 to get feature vectors of each frame of the cricket video• Used Two-layer LSTM architecture to generate commentary• To evaluate the captions METEOR score was used. Stock Price Prediction using LSTM and GAN• Time series analysis of the data was done by using ARIMA and fbprophet to predict the prices in stage 1• Using the historical data of the companies, LSTM, CNN and GAN were used to predict the stock prices after user defined number of days, hours or minutes.

Worked on 3D Point clouds for Tree Detection and countingTop Projects Tree Detection and Counting in 3D point clouds• 3D point clouds were created photogrammetrically by use of UAV equipped with color infrared cameras.• Algorithm made for counting the trees used NDVI and height variance to segregate tree points from non-tree points and local maxima was used to get the tree points.• Results were compared with the labeled data to analyze the classifier by making a confusion matrix. Earthquake Anomaly Detection Using Autoencoder (ML)• From the Seismic sensor data Autoencoder was trained only at Normal Days. When earthquake occurs, the error is high, and anomaly is detected

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