Anurag Dixit
@anuragdixit
Data Scientist - Recommendations at Lowe’s Companies Inc.
Bangalore, KA
Anurag Dixit is a Data Scientist at Lowe’s Companies Inc. specializing in recommendation systems and NLP. He holds an MTech from IIT Bombay and a BTech from HBTU Kanpur. Anurag has successfully developed real-time algorithms serving millions of customers and has expertise in fine-tuning large language models and deep learning frameworks.
Experience
Data Scientist - Recommendations
Lowe’s Companies Inc.
Analyzed Extreme Multilabel Classification (XMLC) through a literature survey, exploring frameworks like Amazon Science’s PECOS and Microsoft Research’s DeepXML. Developed two real-time and powerful recommendation algorithms, RSFY-HP and RSFY-Search, utilizing the state-of-the-art PECOS framework. Designed the ’Trending Items for Pros Like You’ a dynamic carousel. Implemented a Two-Tower Model integrated with a BERT-CoCondenser model to recommend Buy Online Pickup in Store items. Designed a Bar-Code-Scan-Recs carousel using GPT-4 api key with stable Prompt Engineering. Tackled tasks of Topic Extraction from product reviews and predicting the sub-category of products.
Education
IIT Bombay
MTech
Control and Computing
HBTU Kanpur
BTech
Electronics Engineering