Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25)

Foundations of Project Management

Introduction to Cybersecurity

Flipkart Grid 7.0

Bachelor of Engineering

Worked in Agile sprints to build a MicroPython-based SPI communication module to interface with an SSD1309 OLED display using the luma libraries, after studying relevant protocol and driver documentation. Participated in daily stand-ups, sprint planning using google workspace tools, and code reviews to ensure iterative development and continuous delivery. Integrated the display into Python-based AI dashboards and systems, ensuring real-time responsiveness and compatibility. Spearheaded unit testing and debugging cycles, reducing display lag and increasing data rendering stability by ~25%. Stack: MicroPython, Python, SPI, WSL (Linux), google workspace tools

Software Engineering intern (Embedded Systems)

Customer Segmentation using K-Means Clustering Dataset: Mall Customer Data | Tools: Python, Scikit-learn, Pandas, Matplotlib(Unsupervised Learning) – Conducted customer segmentation on 200+ mall customers using K-Means clustering to identify behavioral groups based on annual income and spending score. Determined optimal cluster count (K=5) using Elbow Method and validated with Silhouette Score (~0.65), ensuring meaningful segmentation. Interpreted clusters into actionable personas (e.g., “Loyal High-Spenders”, “Low Engagement Customers”) to aid targeted marketing strategies. Visualized clusters using 2D scatter plots and created a modular, reusable pipeline for future retail datasets.

Machine Learning Intern

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