
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
skills-getting-started-with-github-copilot
June 16, 2026 – Present
Exercise: Get started using GitHub Copilot
View ProjectConsumer_Complaint_Classifier_System_NLP
March 8, 2026 – Present
This project builds a machine learning system to automatically classify consumer financial complaints into product categories. The dataset used is the CFPB Consumer Complaint Database, which contains hundreds of thousands of real complaints submitted by customers regarding financial services such as credit cards, mortgages, debt collectors
View ProjectSign2Text-MachineLearning
March 4, 2026 – Present
This project implements a machine learning–based system that recognizes hand sign gestures and converts them into text. The pipeline includes data collection, preprocessing, and a trained machine learning model for gesture classification. The goal is to enable real-time sign language recognition to improve communication accessibility
View ProjectAutomated_Resume_Screening_System
March 2, 2026 – Present
The system takes multiple resumes and a job description as input, converts them into TF-IDF vectors, computes cosine similarity scores, and ranks the resumes accordingly. This helps recruiters quickly identify the most relevant candidates.
View ProjectAgentic-AI-Sql-Orchestrator
February 28, 2026 – Present
Agentic AI pipeline that converts natural language into validated, optimized SQL using multi-agent orchestration and LLM-powered tools.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from NLP to computer vision and agentic AI, indicates a broad interest in data science domains. However, without professional experience or team-based projects, it's difficult to fully assess collaboration and work style.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.