Open to opportunities

Shivanshi User

@shivanshi

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Computer science professional specializing in AI-driven analytics.

India

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What I'm looking for

I seek roles applying generative AI/ML to product analytics or platform features, collaborating cross-functionally, working on model evaluation and deployment, and growing technically in a supportive, impact-driven environment.

I am a computer science professional with graduate training from BITS Pilani and hands-on experience applying generative AI and machine learning to real-world products. I have contributed to analytics and platform improvements, evaluated and validated AI models, and integrated features across cross-functional teams to drive engagement and conversions.

My background includes internships building web and mobile modules, developing deep learning and NLP projects such as machine translation and information retrieval for satellite imagery, and implementing distributed systems using gRPC. I am proficient in Python, modern web stacks, databases, and mobile development, and I have served as a teaching assistant for deep learning and C programming.

I seek opportunities where I can apply generative AI, ML engineering, and product-focused analytics to solve impactful problems, collaborate with diverse teams, and continue growing technically and professionally.

Experience

Work history, roles, and key accomplishments

Product Intern - Analytics

ANS Commerce

Feb 2024 - Jun 2024 (4 months)

Applied generative AI strategies to enhance the digital marketing platform, improving sales conversion, user engagement, and satisfaction; evaluated and validated AI models and collaborated with cross-functional teams to integrate AI features and streamline workflows.

Generative AI Prompt Engineering Python Model Evaluation Data Analysis Google Colab

Data Analysis Intern

Centre for Railway Information Systems

Jun 2020 - Nov 2020 (5 months)

Developed and optimized DLW web application modules and an Android dashboard app, integrating backend services to improve user experience and data handling efficiency; contributed to testing and client-focused feature development.