About

Rahul Rustagi is a highly skilled Data Scientist with over 1.78 years of relevant experience in the field. He is currently working at Koo India as a Data Scientist in the Engineering team, where he is responsible for building the recommendation system for this new age platform. Rahul's expertise lies in the concept of Data Engineering and Data Science, where he has experience in building and optimization of machine learning and deep learning models, as well as their front-end development and cloud deployment on services like Azure, GCP, and AWS. In his current role, Rahul has worked in the Core ML team to develop and scale a multi-signal ML-based recommendation system which resulted in a 55% increase in recommendation-based followership conversion rate and increased the conversion forecasting scale for a bigger time-frame. He has also developed and scaled NLP-based recommendation Engine leveraging AWS S3, ATHENA, ElasticSearch, and Sagemaker to enable Text embeddings (Transformer/laBSE) based signal to generate recommendations for creators on the platform. Prior to his current role, Rahul worked as an Associate Data Scientist at Great Learning, where he used predictive analytics such as machine learning and data mining techniques to forecast company sales of new products with a 95% accuracy rate. He also used descriptive analysis and data wrangling techniques to identify and reduce student attrition problem using ML and basic decision science. Rahul has also worked in the International Operations team to analyze product usage and customer sentiment using an LDA topic modeling model and LSTM for response classification. Rahul holds a Bachelor of Technology in Information Technology from Amity University and a High School degree in Computer Science from Happy School-India. He is well-versed in a wide range of technologies, including ML, Data Scientist, Research Scientist, AWS, Recommendation system, SQL, Frontend, NLP, Sagemaker, Deep Learning, Amazon Athena, Data Engineering, Elastic Search, Django, Flask, Azure, GCP, Spark, Python, Sentiment Analysis, SVM, Random Forest, Apache Airflow, MongoDB, Kafka, and ETL. Overall, Rahul is a highly motivated and skilled Data Scientist with a passion for building cutting-edge ML models and deploying them on cloud platforms. He is always eager to learn and explore new technologies to enhance his skills and knowledge.