Nandana Narayan Das
Data ScientistMTECH AI and DS
Cochin, Kerala, India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MTECH AI and DS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
virtual_museum_project
April 11, 2026 – Present
Interactive educational virtual museum built with Three.js
View Projectsmart-city-traffic-ai-bengaluru
March 16, 2026 – Present
Full-stack AI sstem for Bengaluru traffic forcasting using TomTom live flow data, LSTM Conjestion prediction, and Fuzzy Cognitive Map based on Explainable decision support
View Projectigp-emissions-attribution
February 27, 2026 – Present
igp-emissions-attribution — GitHub repository
View ProjectIoT-Network-Intrusion-Detection
October 13, 2025 – Present
IoT-Network-Intrusion-Detection — GitHub repository
View ProjectAirqualityPrediction
September 28, 2025 – October 17, 2025
Predicts Air Quality Index (AQI) for major Indian cities using Ant Colony Optimization (ACO) and Decision Trees. Features multi-objective optimization, policy-focused feature selection, and interpretable results for environmental policymaking. Dataset: India AQI 2023–2025.
View Projectnandana-das.github.io
June 28, 2025 – September 30, 2025
Personal portfolio website built with HTML, CSS, and JavaScript. Showcases my projects, skills, and background. Designed for easy navigation and a responsive experience across devices.
View ProjectTongue_disease_detection
February 16, 2025 – April 10, 2025
Tongue_disease_detection — GitHub repository
View ProjectFace-Recognition-Based-Attendence-System
November 4, 2024 – November 4, 2024
Face-Recognition-Based-Attendence-System — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to AI/ML and data science, aligning with the target role. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The diversity of projects (from virtual museums to IoT intrusion detection) suggests a broad interest, but also a potential lack of deep specialization in a single area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but collaboration, communication, and problem-solving in a team context cannot be evaluated.