
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
hireaudit
May 20, 2026 – Present
HireAudit: A Standardised Post-Deployment Framework for Intersectional Bias Auditing of AI-Driven Hiring Systems
View ProjectGutSense-Mood-Prediction
March 2, 2026 – Present
Photo-log your meals → model gut microbiome response → predict mood shifts. A predictive neuro-nutrition intelligence system powered by machine learning.
View ProjectCloudburst-Detection-and-Early-Warning-System
November 26, 2025 – Present
Cloudburst early warning platform combining stratospheric sensing, satellite data, and ensemble ML models for real-time disaster alerts.
View ProjectEmail-Spam-Classifier-Using-Naive-Bayes
October 27, 2025 – October 27, 2025
Email-Spam-Classifier-Using-Naive-Bayes — GitHub repository
View ProjectNovaPath---Career-Guidance
September 18, 2025 – September 21, 2025
AI-powered platform to explore personalized education and career paths with quizzes, chatbot, skill recommendations, and timeline planning.
View ProjectCaseSnapAI
September 6, 2024 – September 24, 2024
CaseSnap AI is an AI-driven research engine designed to assist with legal analysis, focusing on commercial court cases. It leverages machine learning models to process legal documents, identify legal intents, and facilitate intelligent conversations that help in gathering key case information. The chatbot can also generate chat logs in jpg format.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, focusing heavily on AI/ML applications. While this demonstrates initiative and passion, the lack of team-based or industry-specific projects makes it difficult to assess cultural fit in a collaborative, corporate environment. The projects align well with a Data Scientist role, but the breadth of experience outside of personal projects is limited.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse, complex problems, indicating strong problem-solving skills. However, without direct assessment data, specific soft skills like teamwork, leadership, or communication in a professional setting cannot be definitively evaluated.