Ankita Jaodand
About Ankita Jaodand
Ankita Jaodand is a Data Scientist at Aera Technology with a background in machine learning, artificial intelligence, and electronics engineering.
Title and Current Company
Ankita Jaodand holds the title of Data Scientist. She currently works at Aera Technology in this capacity. Her role involves leveraging her data science skills to derive insights and predictions that support business decisions.
Previous Experience at Accenture
Ankita Jaodand previously worked at Accenture. From 2020 to 2021, she served as a Data Scientist in Pune, focusing on data projects within the finance health insurance domain. Prior to that, she held the position of Application Development Analyst from 2017 to 2019, where she gained experience in software development.
Education and Expertise
Ankita Jaodand earned a Post Graduate Diploma in Machine Learning and Artificial Intelligence from The University of Texas at Austin, where she studied from 2019 to 2020. She also holds a Bachelor of Engineering in Electronics Engineering from Shri Ramdeobaba College of Engineering and Management, completed between 2014 and 2017. Additionally, she achieved a Polytechnic Diploma in Electronics from the Maharashtra State Board of Technical Education, which she pursued from 2011 to 2014.
Specialization and Technical Skills
Ankita specializes in predictive modeling and statistical analysis within the retail industry's supply chain management sector. She has expertise in data ingestion and profiling, as well as data generation and veracity rule checks using Python and PySpark. She is adept at working in an Azure environment and is exploring Time Series Forecasting for dynamic demand in supply chain management. Moreover, Ankita is focused on learning various cloud technologies, such as Azure, GCP, and AWS.
Background in Finance Health Insurance Domain
Before transitioning to a data science role, Ankita Jaodand worked as a software developer in the finance health insurance domain. This experience provided her with a solid foundation in software development, which she has successfully leveraged in her current role as a data scientist.