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Raj SinghRS
Open to opportunities

Raj Singh

@rajsingh6

Product Manager with a background in software development and machine learning.

India
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What I'm looking for

I am looking for opportunities that foster innovation and allow me to leverage my skills in product management and technology.

As a Product Manager, I leverage my background in software development and machine learning research to build data-driven, user-centric products. My experience includes owning and improving product funnels, conducting data-driven experiments, and spearheading initiatives that drive growth and engagement. I am passionate about translating technical insights into impactful product strategies that yield significant business outcomes.

During my internship at Newton School, I successfully increased Visit-to-Lead (V2L) by 50% and Registration-to-Attendance (R2A) by 20%, contributing to a projected annual recurring revenue of INR 6Cr. I also transformed the free learning program, implementing strategies that reduced Customer Acquisition Cost by 3X. My entrepreneurial spirit led me to found Taufa, where I designed and launched a gifting platform that enhanced user experience and optimized order processing times.

My technical skills include developing machine learning models for medical diagnostics, achieving high accuracy while ensuring data privacy. I am committed to continuous learning and innovation, always seeking to enhance product offerings and user satisfaction.

Experience

Work history, roles, and key accomplishments

NS
Current

Product Intern

Newton School

Jan 2025 - Present (1 year 5 months)

Owned and improved the Masterclass product funnel, increasing Visit-to-Lead (V2L) by 50% and Registration-to-Attendance (R2A) by 20%, contributing to a projected annual recurring revenue of INR 6Cr/Year. Conducted data-driven experiments to increase flagship program's free trial attendance by 5x, improving conversion rates from 1% to 4% through targeted offerings, refined messaging and in-class/po

VU

Engineering Intern

VSB Technical University

Jun 2023 - Present (3 years)

Developed machine learning models using EfficientNetB0 and XGBoost for EEG-based stroke diagnostics with federated learning, achieving 99.65% accuracy while maintaining data privacy and security. Conducted statistical analysis to evaluate model performance, improving diagnostic accuracy by 25% and contributing to the development of real-time medical imaging tools.

Education

Degrees, certifications, and relevant coursework

KIIT UNIVERSITY logoKU

KIIT UNIVERSITY

B.tech, Computer Science

Grade: 8.54/10.0

Studied Computer Science with a focus on software development and machine learning. Achieved a GPA of 8.54/10.0.

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