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Pranita Shirole
Mumbai, Maharashtra,India
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Pranita Shirole is an experienced Data Scientist and Machine Learning Engineer with a strong background in developing and deploying AI-driven solutions. She has demonstrated expertise in areas such as Natural Language Processing (NLP), computer vision, predictive modeling, and MLOps. Pranita is proficient in programming languages like Python and tools/frameworks including TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS and Azure. She has a proven ability to lead projects, from conceptualization and data analysis through to model development, deployment, and monitoring. Pranita is passionate about leveraging data to solve real-world problems and has contributed to projects in diverse domains, showcasing her versatility and commitment to continuous learning and innovation in the AI field.
How Did Pranita Shirole's Career Path Shape Their Journey?
Pranita Shirole's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Pranita Shirole's Key Achievements?
Lead AI/ML Engineer & Researcher
Led and managed AI/ML projects, focusing on areas like generative AI, NLP, and computer vision. Successfully developed and deployed scalable machine learning models, significantly improving product capabilities and user engagement. Often involved in research and publication of findings.
Development of Advanced NLP Solutions
Contributed to the creation of sophisticated NLP models for tasks such as sentiment analysis, text summarization, and question-answering systems, enhancing data interpretation and automated response generation in various applications.
Speaker and Community Contributor
Actively shares knowledge and insights through speaking engagements at tech conferences and meetups, as well as contributing to open-source projects or technical blogs, fostering learning within the AI/ML community.
Cloud-Based ML System Deployment
Designed and implemented MLOps pipelines for deploying and managing machine learning models on cloud platforms (e.g., AWS SageMaker, Azure ML), ensuring robustness, scalability, and continuous integration/delivery (CI/CD) for AI solutions.
What's Pranita Shirole's Educational Background?
Bachelor's degree, Computer Science
University of Mumbai - Year 2010
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Company Overview
IDFC FIRST BankIDFC FIRST Bank is an Indian private sector universal bank formed by the merger of Infrastructure Development Finance Company (IDFC) Bank and Capital First, a non-bank financial company, in December 2018. It offers a comprehensive suite of banking products and services to individuals, MSMEs, and corporates, including savings accounts, current accounts, loans (personal, home, business), credit cards, and wealth management. The bank emphasizes a 'customer-first' philosophy, leveraging technology to deliver seamless and ethical banking experiences. It has a significant presence across India with a network of branches and ATMs.
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