As a Senior Manager in the Data & AI Practice at Genzeon, I am spearheading groundbreaking initiatives in healthcare. My role involves establishing and nurturing GenAI's healthcare practice, where innovation meets expertise.Pioneering GenAI in Healthcare: I am at the forefront of introducing GenAI's capabilities into the dynamic healthcare domain, unlocking new frontiers of data-driven solutions.Leading a Team of Visionaries: I have the privilege of leading a team of brilliant Data Scientists, each armed with the power of data to drive transformative changes in healthcare.Elevating Healthcare with Data: We're not just analyzing data; we're revolutionizing healthcare by harnessing the full potential of Data & AI to improve patient outcomes, streamline operations, and foster innovation.In this role, I am committed to harnessing the power of data, AI, and innovation to drive positive change in the healthcare landscape. Stay tuned for the remarkable achievements of our GenAI team in healthcare!

Led engaging discussions and shared industry knowledge as a Gartner Ambassador to foster connections and enhance personal brand. Collaborated with cross-functional teams to drive thought leadership and promote innovative ideas within the remote work environment. increase in online engagement and networking opportunities through proactive participation in virtual events and forums.

Danalitic specializes in Machine Learning/ Deep Learning & Blockchain.Our goal is to help our clients convert their operations into a competitive differentiation through out of the box AI/ML Product Development and Humanize interactions for deeper engagement.

Kaggle Days Meetups are a series of events all over the world that aim to gather Kagglers and people interested in Data Science, Machine Learning, Artificial Intelligence around one city.Kaggle Days Meetup, Mumbai is on a mission to gather Data Science, Machine Learning, Artificial Intelligence Enthusiasts and most importantly Kaggle fans.Kaggle Days Meetup, Mumbai is a volunteer-driven initiative comprising of Kagglers, working professionals, students and many more with a primary interest in exploring Kaggle as a platform & to learn, collaborate and meet others.Why you should Join ?• LEARN how to start on Kaggle through practice,• NETWORK and Meet With Kaggle Grandmasters, Masters and Kaggle competition winners,• LEARN tips and trick on how to win a Kaggle competitionMeetup - Joining Linkhttps://www.meetup.com/Kaggle-Days-Meetup-Mumbai/

Assisting existing process steps to support human decision-making by providing automated analysis of various scenarios, ultimately helping speed up processes and minimize human error or bias.

Google's Machine Learning Crash Course (MLCC) Study Jams is an online training course on AI and Machine Learning (ML) for students,graduates,and engineers of different cities across Indiain the form of study groups and developer-run courses.Featured as a MLCC jams Facilitator I carry upon these responsibilities as a Facilitator:-Run in-person hands-on training sessions and study jams about machine learning using Tensorflow and scikit-learn.-Guide participants through course material and conduct weekly meetups for problem solving.-Organize Hackathon that focused on solving key challenges in Healthcare, Retail, Fintech (Financial Inclusion) and Transportation Industry.

As a Course Curator at Coursera, Providing Mentor-ship to students, Reviewing course materials before launch and providing feedback to instructors. Member of Cousera GTC Community, Help them to translation Computer Engineering, Machine Learning, & Data Science Courses.

Lead the integration of data science and enhanced analytical approaches to create and leverage complex data sets for bitgrit data science and machine learning approaches, and other development sector programs with a focus on delivery of outcomes and value for money.Oversee the development and implementation of robust data analytics capabilities within Bitgrit Organization programs across a broad range of Domain Expertise and other development sector projects, including activities such as data assessments, requirement analysis, software development, data analytics, capacity building, and strategic informatics.Develop and implement a strategic growth plan in data science and analytics, including real and near-real-time data capture and use, data visualization and information system improvement for projects across a wide array of programmatic and thematic areas and link- where appropriate- to financial data to measure value for money .