Lavan Bathija

Experienced Data Scientist adept at harnessing the power of large datasets to develop innovative machine learning models for solving complex analytics and predictive challenges. Proficient in a wide array of technical domains including Machine Learning, Data Mining, Deep Learning, Computer Vision, Pattern Recognition, and Information Retrieval. Specialized expertise in Natural Language Processing, with a keen interest in cutting-edge techniques such as language transformers, BERT, attention-based algorithms, and social media data mining. Known for adaptability and flexibility in navigating diverse projects, with a strong commitment to delivering production-level code of the highest quality. Actively seeking roles centered around Applied Data Science, Machine Learning, Natural Language Understanding, and Algorithmic problem-solving to drive impactful solutions in the field.

AAAI 2022 - Sentiment and Stance Detection in Tweets related to Covid-19 Vaccination.

• The primary purpose of this paper was to develop a system that could classify the stance and sentiments from tweets related to Covid-19 Vaccination.
• The paper proposes a detailed study about the changes in the stance towards vaccination over the course of the coronavirus pandemic using the results generated by deep learning ensemble models consisting of BERT, RoBERTA and CoviTwitterBERT.

Github: https://github.com/lavanbth99

Kaggle: https://www.kaggle.com/lavanbth99