From clean interfaces to trained models, I build software that thinks with data. React on the front, Python underneath, analytics throughout — making every feature intentional. No fuss, no noise. Just engineering that reads the data before it writes the code.
Whether you're launching, iterating, or scaling — analytics doesn't just speed things up; it brings clarity, intention, and space to focus on what truly matters.
B.Tech graduate in Computer Science Engineering, specialized in Data Science — combining strong software development fundamentals with applied data analytics expertise, and a genuine passion for software engineering.
Experienced in building data-driven applications and translating complex datasets into actionable business insights. Hands-on with Python, SQL, React, Power BI and Excel across academic and professional work — from supervised ML models and EDA to clean, user-friendly interfaces.
Currently seeking entry-level roles in software development, data analytics, or business intelligence — anywhere strong programming and analytical thinking can produce scalable, intelligent solutions.
Implemented the AlexNet CNN architecture with optimization techniques for image classification, deployed on cloud platforms for scalable inference. Achieved improved accuracy through data augmentation and fine-tuning.
ML + human feedback system that detects and classifies misinformation — NLP feature extraction with a human-in-the-loop to sharpen accuracy and relevance.