About

Meghana Negi is a skilled Senior Data Scientist at Swiggy with over 8 years of experience in the internet industry. She holds a Master of Technology (M.Tech.) in Information Technology from the Indian Institute of Information Technology. Meghana has a demonstrated history of working with Python, Apache Spark, Machine Learning, Data Mining, Leadership, and Algorithms. In her current role at Swiggy, Meghana is responsible for Trust and Safety. She has previously worked as a Data Scientist - 2 and SDE-2 (ML Engineer) at Swiggy, where she contributed to Revenue and Growth. Meghana's technical skills include Research Scientist, Data Scientist, Python, ML, Spark, NLP, Recommendation system, Software Engineer, RNN, SQL, Word2Vec, Tensorflow, MySQL, ETL, SVM, Random Forest, Keras, Snowflake, CNN, Image Processing, Deep Learning, Apache Airflow, Scikit, PHP, Hadoop, Search, and Mobile. Throughout her career, Meghana has shown expertise in various areas such as feature engineering, ML pipelines, time series modeling, correlation, anomaly detection, and automated time series platforms. Her experience and skills make her a valuable asset to any team.