About

Chetna Shahi is a seasoned data scientist with over 6 years of experience in analytics. She is driven to develop herself as a subject matter expert in the field of data science and deliver projects that help organizations achieve their business objectives. As a Senior Data Scientist at Anhueser Busch Inbev, Chetna is responsible for leading data science projects and driving insights that inform business decisions. Chetna has a strong technical skill set that includes programming languages such as Python (Pandas, numpy, scikit) and SQL, database development using MySQL and SQL server, and tools such as Jupyter for Python, Tableau, and Apache Hive. She also has experience with deployment technologies such as StreamLit, MLOps, Heroku, Django, and Flask. Chetna is currently learning Big Data, Hadoop, Pig, and Spark. Chetna has worked on several projects throughout her career, including the development of a space optimization tool that helps retailers with product recommendations and product facings calculation, email automation for 300+ users, and text similarity prediction using TF-IDF Scores and Cosine Similarity. She has also forecasted segment-wise beer volume sales using SARIMA model and developed and automated a python-based model for correlation analysis between Market Penetration and key sales KPIs (promotion, pricing, and distribution) in the brand level. Chetna holds a Bachelor of Technology degree in Computer Science from Vellore Institute of Technology. She is a skilled data scientist, research scientist, and has experience with technologies such as Spark, ML, Flask, Big Data, Django, Pandas, MySQL, Hadoop, and Apache Hive. With a total of 7.62 years of relevant experience, Chetna is a valuable asset to any organization looking to leverage data science to drive business success.