This portfolio showcases the work of a dual-degree student in B.Tech (IT) and BS (Data Science), focused on bridging the gap between raw data intelligence and elegant, human-centric application design.
The projects presented reflect a systematic approach to solving real-world challenges by leveraging modern technology:
AI & Data Modeling: Demonstrating proficiency in Python, statistical analysis, and machine learning principles to build intelligent solutions (e.g., predictive budgeting in the Expense Tracker).
Data Visualization & Storytelling: Creating high-impact, interactive dashboards that simplify complex multivariate data, enabling users to draw clear, actionable insights (e.g., the Plotly-based Purple Intelligence project).
Human-Centric Design (UI/UX): Applying design thinking and modern web technologies (HTML/CSS) to ensure every application is intuitive, engaging, and visually appealing, resulting in high user adoption potential.
The collection illustrates a commitment to delivering solutions that are not only technically robust but also possess a futuristic and seamless user experience. This work is geared toward securing an internship where data analysis and design skills can be applied to solve novel problems.
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