Ankita Singh

Played a critical role in analyzing complex datasets to uncover actionable insights, develop predictive models and support data-driven decision-making. Collaborated with cross-functional teams to address key business challenges, develop innovative solutions, and drive continuous improvement.

Pneumonia Detection using CNN

This project aims to provide a reliable and efficient solution to automatically detect pneumonia from chest X-ray images by developing deep learning model CNN.

House Price Prediction

Achieved R2 score of 87.4% through regression, ensemble and deep learning techniques, driving strategic business growth. Worked on optimizing model hyperparameters and regularization techniques to improve R2 score by 7%.

Movie Recommendation System

Aims to provide personalized movie recommendations to users by analyzing user search history, ratings and preferences using ML algorithms.

Detection of body state using LSTM and Classification Models

Developed a model for the detection of body states based on time-series data collected from iOS device. Attained an accuracy of 89% by leveraging LSTM and classification models, to identify state as walking or running. Achieved a 93% accuracy rate through fine-tuning of the model architecture.