About

Manisha Sahu is a skilled Data and Analytics Practitioner with over 12 years of experience in the field. She is currently working as a Lead Data Engineer for Fractal Analytics, where she is responsible for developing sustainable data-driven solutions in conjunction with the Architect, using Big Data and other emerging technologies to meet the needs of the organization and business customers. Manisha has expertise in Feature Engineering, data pipeline for AI/ML model, Hadoop technologies, and Python. Her past experience includes working as a Senior Data Engineer in the hospital and healthcare industry, where she demonstrated proficiency in Big Data Technology, Teradata, Oracle Database, IBM DB2, Data Warehousing, Data Warehouse Architecture, and Scala (Programming Language). At Fractal, Manisha is part of the Data Engineering team, AI@Scale, Computer Vision, and Conversational AI, where she prepares and presents findings of investigations to Architect, builds and prototypes new data models and pipelines that deliver intuitive analytics to customers. She works alongside engineers to establish an analytics platform to be used across the business and to deliver data engineering pipelines, tools, and custom solutions for use by data scientists. Manisha has a working knowledge of statistical, machine learning, and artificial intelligence techniques such as regression analysis, clustering, decision trees, ensemble methods, and collaborative filtering. She has experience in building a data pipeline for recommender systems in the banking domain. In her past roles, Manisha has worked with companies like General Electric and Accenture, where she held positions of Senior Data Engineer and Senior Analyst, respectively. Manisha holds a Bachelor's degree in Engineering from Shri Shankaracharya College of Engg. & Technology and completed her Higher Secondary School education in Computer Science from Senior Secondary School Sector-10. Her technical expertise includes AI, Data Engineering, Computer Vision, ML, Big Data, Senior Software Engineer, Data Warehouse, Hadoop, Python, Scala, and ETL.