About

Anusha Meghawat Jain is a highly skilled Full Stack Data Scientist with over 7 years of experience in the field. She is proficient in setting up cloud computing stacks on AWS and building and delivering ML-based solutions using Python, Spark, R, and SQL. Anusha has extensive industry experience in the end-to-end planning and implementation of data science projects, including data mining, feature engineering, data visualization, variable treatment, and applying ML models to deliver solutions in different formats. Anusha has been part of the founding teams in Quant Research, Morningstar, PaySense Analytics and Graphs team, and Eko.in Data Science team. Currently, she is a Senior Data Scientist at Analytics Vidhya, where she is responsible for corporate trainings and content aspects, including curriculum design, course and evaluation process creation, and onboarding of SMEs. Her strong motivation to help millions of candidates transition into Data Science and Analytics is reflected in her work at Analytics Vidhya. Anusha's Data Science expertise includes Python, R, PowerBI, Machine Learning Models Classification and Regression Techniques, Ensemble Methods, Customer Segmentation and Profiling, and Credit Underwriting Models. She leverages different ML models to suit different types of data and expectations. Anusha is also proficient in various tech stacks, including AWS, SQL, Spark, Apache Airflow, AI, Selenium, MySQL, Postgres, Azure, Integration, Software Engineer, and Infra. Anusha holds an Engineer's Degree in Electronics and Instrumentation from Birla Institute of Technology and Science, Pilani. She completed her high school education from Spring Valley Public School, Indore (CBSE) and her higher secondary education from Choithram Higher Secondary School, Manik Bagh, Indore (CBSE). Overall, Anusha Meghawat Jain is a highly skilled and experienced Data Science and Analytics Professional who has made significant contributions to the field. Her expertise in various tech stacks, along with her experience in end-to-end data science project implementation, makes her a valuable asset to any organization.