Priyanshu raj
@priyanshuraj1
Bioengineering student and full-stack/Machine Learning practitioner delivering data-driven product and analytics solutions.
What I'm looking for
I am a bioengineering student with practical experience building backend systems, machine learning models, and analytics pipelines. I blend rigorous engineering with applied data science to deliver scalable, production-ready solutions.
During an AI & Analytics internship at a leading consumer goods company, I analyzed sales data across states, automated distribution workflows, and provided strategic insights that supported market expansion and product decisions.
I have architected microservices-based e-commerce backends using Spring Boot, Kafka, Redis, and AWS, and containerized deployments for robust, event-driven systems. I also developed high-performing ML models for cancer recurrence prediction with CNN ensembles and achieved an AUC of 0.998.
I care about building secure, user-focused products—demonstrated in a UX case study that improved Spotify sharing satisfaction by 19%—and I enjoy collaborating across functions to ensure data accuracy and impact.
Experience
Work history, roles, and key accomplishments
AI & Analytics Intern
Britannia Industries Ltd.
Jun 2024 - Aug 2024 (2 months)
Analyzed multi-year sales data for cake and cheese products across Indian states to provide actionable insights for market expansion and product development; automated distribution planning across factories to improve operational efficiency.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Mandi
Integrated Bachelor and Master of Technology, Bioengineering
2021 -
Integrated B.Tech + M.Tech in Bioengineering at IIT Mandi, expected completion in 2026 with coursework and projects in bioengineering and related computational methods.
Modern Academy, Gaya
Class XII (CBSE), Senior Secondary Education
2018 - 2020
Completed Senior Secondary Education (Class XII) under the CBSE curriculum at Modern Academy, Gaya with focus on college preparatory coursework.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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