I am a dedicated 3rd Year BTech student specializing in Artificial Intelligence and Data Science. I bridge analytical precision with clean interface design to deliver intelligent systems, structured data analytics pipelines, and complete digital brand identities.
Core toolsets used across data, analytics, and software stacks.
Selected engineering builds across deep learning, business analytics, and pipeline engineering.
A clinical-grade diagnostic computer vision system designed to classify brain MRI tumor categories and estimate severity.
Manual MRI scans require intensive clinical labor and are prone to human diagnostic variance, while conventional black-box deep learning models fail to explain their reasoning.
Combines convolutional neural networks (CNNs) with Explainable AI (Grad-CAM) to overlay interpretable activation heatmaps onto scans, paired with an automated engine that compiles and exports structured clinical PDF reports.
An executive business intelligence suite built to track commercial performance across multiple sales channels and geographical markets.
Raw transactional data scattered across spreadsheets obscures regional dips, product revenue drivers, and quota pacing.
Integrates custom DAX calculations, dynamic time slicers, and interactive drill-downs to isolate top-performing SKUs, evaluate margin shifts, and forecast month-over-month revenue velocity.
An unsupervised machine learning project grouping customer cohorts based on purchasing behaviors and engagement patterns.
Generic, blast marketing results in poor conversion because user bases feature diverse buying intervals, ticket sizes, and item affinities.
Applies feature scaling and clustering algorithms (K-Means) to historical transaction records, visualising clear behavioral customer personas to inform retention campaigns and personalized marketing.
A predictive modeling system engineered to forecast upcoming inventory needs and demand curves.
Reactive purchasing workflows trigger inventory stockouts during sudden demand spikes and costly overstock during slow cycles.
Analyzes historical logs with data preprocessing pipelines and trains multivariate regression and time-series models to predict cyclical trend movements with high accuracy.
An end-to-end data pipeline that extracts messy tabular records, cleans them, and outputs standardized executive summaries.
Manual reconciliation, schema errors, and duplicate entries cause multi-day delays in recurring operational reporting.
Uses automated Python scripts to sanitize null fields, normalize data types, deduplicate records, and automatically feed clean tables into structured reporting dashboards.
A real-time executive dashboard measuring regional quota attainment and performance benchmarks.
Operations teams lacked a single source of truth for tracking daily sales velocity, leading to slow operational decisions.
Features complex DAX metrics, SQL data pipelines, and responsive time-intelligence filters to give stakeholders an immediate visual audit of operational targets.
Production-oriented solutions tailored to your technical and business goals.
Custom deep learning architectures, computer vision pipelines, predictive classifiers, and Explainable AI (XAI) models tailored for domain applications.
Automated ETL processing, statistical modeling, exploratory data analysis, and real-time executive Power BI & DAX KPI dashboards.
Clean, high-performance web applications and responsive landing interfaces engineered with modern web standards and database integrations.
Intuitive wireframing, high-fidelity prototypes, user journeys, and component systems optimized for usability, engagement, and conversion.
Distinct visual identities, vector brand assets, custom typography marks, and coherent brand guidelines that distinguish your products.
Available for freelance consulting, research collaborations, and internships.
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