Archi Srivastava is a seasoned Senior Data Scientist currently contributing her expertise at Microsoft. With a strong foundation in Artificial Intelligence, Natural Language Processing (NLP), and Machine Learning, she focuses on developing and deploying innovative data-driven solutions. Prior to Microsoft, Archi made significant contributions as a Senior Data Scientist at ShareChat, where she worked on building AI models for content understanding, recommendation systems, and user engagement for a large-scale social media platform. She is passionate about leveraging cutting-edge technologies to solve complex real-world problems and has a proven track record of delivering impactful results in fast-paced environments. Archi is also an active voice in the tech community, often sharing her insights and knowledge.
Archi Srivastava's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently leveraging advanced AI and ML techniques to enhance Microsoft products and services, focusing on developing scalable and robust data science solutions.
Played a pivotal role in developing and deploying machine learning models for content moderation, personalized recommendations, and user behavior analysis, impacting millions of users on the ShareChat platform.
Contributed to projects focusing on Natural Language Processing for Indian vernacular languages, improving content discovery and user experience for a diverse user base.
Actively shares expertise and insights on data science, AI, and machine learning through platforms like Medium, contributing to the broader tech community's understanding of these fields.
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PENTOZ is a full-service digital transformation agency specializing in web development, mobile app development, UI/UX design, cloud solutions, and digital marketing. They focus on delivering innovative and scalable solutions to help businesses thrive in the digital era, working with a diverse range of clients from startups to established enterprises.
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