Priyanshi Aggarwal
@priyanshiaggarwal
Volunteer Consultant - ML/AI at DeepSpace9
Dehradun, India
Priyanshi Aggarwal possesses a strong foundation in computer science, specializing in Machine Learning/AI and Natural Language Processing (NLP). She has experience utilizing various programming languages and libraries, including TensorFlow and Keras. Her academic background includes a Master of Computer Application, where she focused on deep learning models for sentiment analysis.
Experience
Volunteer Consultant - ML/AI
DeepSpace9
Developed product recommendation systems using Neural matrix factorization, incorporating purchase history, preferences, and item similarity to solve user and item cold start problems. Implemented content-based similarity using Word2Vec, Glove, and BERT to improve product recommendations on e-commerce websites.
Education
Govind Ballabh Pant Institute of Engineering and Technology
Master of Computer Application (MCA)
Computer Science
Master thesis: Sentiment Analysis using LSTM Deep Learning Model. Classified opinions (positive, negative, neutral) from various sources using three classifiers (Naive Bayes, SVM, and LSTM). Demonstrated that LSTM outperformed other models by accounting for language sequence, negation, and sarcasm.
Licenses & Certifications
DeepLearning.AI TensorFlow Developer Professional Certificate
Deeplearning.ai, Coursera
Applied Data Science with Python
Deeplearning.ai, Coursera