About

Brijesh Parmar is an experienced Data Scientist with a passion for learning and implementing new skills to build innovative products. With over 3 years of experience, he has expertise in various areas of Data Science, including content classification, difficulty level calibration, knowledge tracing, and cross-team collaboration. Currently working as a Data Scientist at embibe, Brijesh has contributed significantly to the company's growth team by defining event schema, developing dashboards with analytics and DE teams, and implementing gamification strategies to improve user engagement and retention. He has also worked on various projects related to content classification, difficulty level calibration, and knowledge tracing, utilizing tools such as XGBoost, Random Forest, FastAi, BiLSTM, Seq2Seq/Transformers, LSTM, and Knowledge Graph Embeddings. Brijesh's past experience includes working as a Data Science Intern at embibe, where he built an ETL pipeline for feature engineering, developed models for tagging content with relevant labels, and identified the difficulty level of questions. He has also worked on various projects related to incremental updates and optimizing existing processes. Brijesh holds a Bachelor of Technology degree in Computer Science from the Institute of Computer Technology at Ganpat University and completed his schooling in Science with Maths and Computer from Delhi Public School, Gandhinagar. He has a strong tech stack, including expertise in Data Science, Research Science, XGBoost, Random Forest, language models, ML, SQL, Search, Neural Networks, MongoDB, and ETL. Brijesh's goals for the year include learning to implement/replicate Data Science Models from Research Papers, building intuition around Neural Network Structure, exploring scaling ML models for production, and building a platform for easier and faster model training and deployment. With relevant experience of 3.78 years, Brijesh is a highly skilled and motivated individual who is always eager to learn and contribute to the field of Data Science.