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Tech-savvy Innovator: Web Development & Data Science Enthusiast.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ESQI-enrollment-index-UIDIA-Data-Hackathon
January 13, 2026 – Present
Enrollment Stress & Quality Index (ESQI) — Composite early-warning metric for Aadhaar enrollment systems, built at the UIDIA Data Hackathon. Combines stress, volume, and biometric activity (0–100 scale) to track resilience under load, with data sources, trends, anomalies, and recommendations.
View ProjectAuroraViz
January 9, 2026 – Present
AuroraViz 0.2.0 — Next-gen Python visualization with WASM HTML export & WebGL rendering. Built on matplotlib, published on PyPI. Features curated Aurora themes, interactive charts, and GPU-accelerated point-clouds for analysts who demand performance and aesthetics.
View ProjectTorchServe-Workshop-Project
January 5, 2026 – Present
TorchServe-Workshop-Project — GitHub repository
View ProjectIris-Flower-Prediction
January 5, 2026 – Present
Iris-Flower-Prediction — GitHub repository
View ProjectPenguin-Species-Predictor
January 5, 2026 – Present
Penguin-Species-Predictor — GitHub repository
View ProjectInventory-Heatmap-Stock-Alerts
January 4, 2026 – Present
Inventory-Heatmap-Stock-Alerts — GitHub repository
View ProjectDataPulse-2025-Analytics-Dashboard
December 31, 2025 – Present
DataPulse-2025-Analytics-Dashboard — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an individual drive for learning and exploration in data science and related fields. The diversity of projects, from visualization to machine learning and web development, suggests a broad interest. However, without team-based project experience or psychometric data, assessing collaboration and cultural alignment is challenging. The target role is Data Science, and many projects align with this, indicating a potential fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.