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Pranali Dhuri has a diverse work experience spanning over several years. Pranali is currently working as a Data Scientist at Elastacloud. Prior to this, they held the same role at DSP Mutual Fund.

Before that, Pranali worked as an Assistant Vice President at DSP Mutual Fund. Pranali was responsible for managing data science and analytics projects.

Pranali also served as a Manager Data Science at BARC India, where they played a crucial role in utilizing data for strategic decision making.

Earlier in their career, Pranali worked as an Architect at BNP Paribas, where they designed and implemented machine learning algorithms to improve performance across departments. Pranali also analyzed complex data sets using advanced tools.

Prior to that, Pranali worked as a Business Process Lead at Tata Consultancy Services, where they developed payment file comparison tools and led a team of 14 individuals across multiple projects.

Pranali also gained experience as a Software Engineer at Vistaar Technologies and as an Associate System Analyst at NSEIT. During their time at NSEIT, they developed executive dashboards, prepared VBA macros, and created Python tools for data generation processes.

Overall, Pranali Dhuri has a strong background in data science, analytics, and project management, making their a valuable asset in various organizations.

Pranali Dhuri pursued an Executive MBA in Finance, General from SVKM's Narsee Monjee Institute of Management Studies (NMIMS) from 2015 to 2017. Pranali holds a Master of Science (MS) in Information Technology from Mumbai University Mumbai, and a Bachelor of Science (BS) in Information Technology from Mumbai University. Pranali has also obtained various certifications, such as Azure cosmos dp developer speciality, Designing and implementing a data science solution on Azure, Microsoft Azure AI Fundamentals, Analyzing Data with Microsoft Power BI, Microsoft Azure Fundamentals, Apache PySpark by Example, Advanced NLP with Python for Machine Learning, Applied Machine Learning: Algorithms, Applied Machine Learning: Foundations, Artificial Intelligence Foundations: Neural Networks, Artificial Intelligence for Project Managers, Building Deep Learning Applications with Keras 2.0, GitHub for Data Scientists, Learning Data Science: Using Agile Methodology, Machine Learning and AI Foundations: Decision Trees, Mistakes to Avoid in Machine Learning, MySQL Essential Training, Neural Networks and Convolutional Neural Networks Essential Training, Artificial Intelligence Foundations: Machine Learning, and Docker for Data Scientists.