Resume
Selected work, experience, and education.
A curated overview of projects, technical work, academic background, and interdisciplinary interests across engineering, machine learning, strategy, and thoughtful systems design.
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Education
Indian Institute of Technology Kanpur
2024 — Present
Bachelor’s Degree • Mathematics & Scientific Computing
Coursework and academic interests include machine learning, robotics, financial economics, optimization, probability, and computational systems.
Work & Projects
Strategy & Management
Samsung Smartphone Market Repositioning
June 2025 — July 2025
MBA631 Course Project • Prof. Amit Shukla
Objective
Reassess Samsung’s smartphone market positioning and identify opportunities to strengthen consumer relevance and emotional differentiation.
Approach
Conducted extensive market and competitive analysis across Samsung’s smartphone portfolio, pricing, distribution, and promotional strategy.
Executed primary consumer research and synthesized insights to identify gaps between spec-centric messaging and evolving lifestyle expectations.
Designed a repositioning strategy focused on usability, trust, emotional resonance, and everyday relevance.
Impact
Reframed Samsung smartphones from a spec-driven offering toward a more lifestyle-oriented and emotionally resonant consumer proposition.
Machine Learning & AI
GNN-Based Fraud Detection System
December 2025 — Present
Electrical Engineering Association • Prof. Rajesh Hegde
Objective
Learn and apply Machine Learning, Artificial Neural Networks, and Graph Neural Networks to detect fraudulent behavior in financial systems.
Approach
Built foundational understanding of classical machine learning models and neural networks for baseline fraud classification.
Modeled financial systems as graph structures where accounts act as nodes and transactions act as edges to capture relational behavior.
Designed and explored GNN architectures capable of identifying multi-hop and relational fraud patterns not detectable by traditional methods.
Impact
Developed a graph-based fraud detection pipeline capable of identifying relational fraudulent activity patterns in complex financial networks.
Skills & Interests
Technical
Python, Machine Learning, Graph Neural Networks, Financial Modeling, Robotics, Optimization, Data Analysis, Research Systems
Interests
Robotics, AI Systems, Financial Economics, Design Systems, Writing, Cinema, Computational Thinking