About

Nusrath Syed is a skilled Data Scientist with a passion for Computer Vision and Machine Learning. With over 4 years of relevant experience, she has a proven track record of delivering data-driven insights to businesses. Currently working as a Data Scientist at DBS Bank, Nusrath is responsible for solving classification problems for campaigning and marketing products using PySpark, LightGBM, MMLSpark LightGBM, and Bayesian Optimization techniques for hyperparameter tuning. Before joining DBS Bank, Nusrath worked at EY as a Consultant and Associate Consultant, where she built multi-label multi-class models to detect different types of labels for a particular class using CNN, RNN, LSTM. She also contributed to Kaggle's competition on Quora Insincere Questions Classification using Deep Learning, GloVe embeddings, and LSTM. Nusrath has experience building predictive models using logistic regression, Random Forest, and SVM on Python to identify false positives in Transactional data. She has also developed two end-to-end sentiment analysis modules by scraping tweets and customer reviews using Text blob, NLTK, Spacy, and Vader. Additionally, she helped her team on POCs on computer vision technologies, building an Auto number plate detector and face recognition using OpenCV. Nusrath holds a Master's degree in Data Science and Engineering from Birla Institute of Technology and Science, Pilani, and a Bachelor's degree in Mechanical Engineering from Nimra Institute of Science & Technology. She is proficient in various technologies such as Python, SQL, Elastic Search, Computer Vision, Sentiment Analysis, Pytorch, Scikit, Search, Infra, AI, RNN, Java, Flask, SVM, Deep Learning, Keras, CNN, OpenCV, Pandas, Jenkins, Random Forest, Word2Vec, Normalization, CI/CD, Big Data, MySQL, Cassandra, Kafka, Integration, Frontend, Web, and Apache Hive. Nusrath is a driven and enthusiastic individual who is always eager to learn and grow in her field. Her expertise in data analysis and machine learning makes her an asset to any organization.