Kumar Shanu

Ai Ml Engineer at Rapyder Cloud Solutions

Based in Sambhal, India

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Seniority

Staff

Department

Information Technology

Location

Sambhal

Industry

IT Services and IT Consulting

Company size

368

Contact information

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Email

1 credit

k•••••••@rapyder.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Kumar Shanu

As an experienced AI and Machine Learning Engineer, I specialize in leveraging cloud technologies such as Azure and AWS to optimize operational efficiency and drive business value for clients. With a strong technical foundation in Python, SQL, and Data Science, I have successfully led and collaborated with small teams to deliver high-impact solutions, ensuring the seamless integration of AI-driven technologies across various industries. My expertise spans multiple domains within Machine Learning and Artificial Intelligence, including Deep Learning, Natural Language Processing (NLP), predictive modeling, and data engineering. I design and implement innovative AI models and automation frameworks that address complex business challenges, significantly improving decision-making, productivity, and scalability. In addition to technical skills, I have a proven track record of managing end-to-end ML projects, from initial requirement gathering to deployment in production environments. Some of my key achievements include:* Implemented a machine learning model that improved customer retention by 20%, optimizing data pipelines and automating workflows.* Led a team in building a recommendation system for an e-commerce platform, increasing sales by 15% through personalized customer experiences. I’m passionate about continuous learning and staying up-to-date on emerging technologies in AI and data science. I regularly pursue certifications, attend conferences, and participate in online courses to deepen my knowledge. If you're looking for a dedicated AI/ML expert who can harness the power of cloud and data to unlock new opportunities for your business, let’s connect. I’m eager to explore new challenges and bring innovative, data-driven solutions to life.

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