Help & Supportcareers@gravityer.com
Data Analyst with less than a year in AI/ML and Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Postgraduate student in Data Science with a distinguished mathematical background and a keen interest in data driven problem solving. Adept at analytical thinking, statistical modeling, and programming. Deeply interested in data analysis, with a strong focus on applying Exploratory Data Analysis (EDA) to understand data narratives and build robust models. Eager to apply and expand comprehensive skill focused on real-world challenges in Machine Learning, Deep Learning, NLP, and Large Language Models.
Rajiv Gandhi National Institute of Youth Development
M.Sc Computer Science · Data Science
August 1, 2024 – Present
Hindu College, University of Delhi
B.Sc(H) Mathematics · Mathematics
August 1, 2021 – June 30, 2024
VKC Plastomers India Pvt. Ltd.
Data Analyst Intern
February 1, 2026 – March 1, 2026
Kozhikode, Kerala, India
Nucore Software Solutions Pvt. Ltd.
Analyst Intern
June 1, 2025 – August 1, 2025
Kozhikode, Kerala, India
RAG - Based Intelligent Research Assistant for Academic Document Analysis
June 29, 2026 – Present
End-to-end agentic RAG system for academic PDF analysis, deployed as a Flask web application. Engineered a dual-path PDF ingestion pipeline with multi-signal heuristics (noise ratio, broken word ratio) routing documents through OCR or digital-born extraction pipelines Implemented hybrid retrieval combining FAISS dense vector search and BM25 sparse indexing, fused via Reciprocal Rank Fusion (k=60) and reranked using CrossEncoder (ms-marco-MiniLM-L-6-v2) Built LangGraph agentic Q&A loop with self-critique, query refinement, and retry logic; automated five-section literature review generator with hallucination guards Evaluated using faithfulness and answer relevancy scores computed via cosine similarity
Personalized Color Palette Recommendation System
June 29, 2026 – Present
Real-time skin tone analysis and color palette recommendation using computer vision and ML. Developed skin tone classification using MediaPipe Face Mesh, OpenCV (RGB, LAB, HSV), ITA angle computation, and Fitzpatrick scale mapping Implemented dominant color extraction via K-means clustering with multi-factor harmony scoring based on color theory Deployed as a Flask web app with real-time processing and automatic data deletion for privacy
Plant Disease Detection System
June 29, 2026 – Present
Potato leaf disease classifier using ResNet50 + Random Forest Classified leaf images into Early Blight, Late Blight, or Healthy with confidence scores and class-specific explanations Enabled real-time image uploads with Flask-based web interface
Introduction to Large Language Models (LLMs) – NPTEL (Elite Silver, Top 5%)
Indian Institute of Technology Madras
July 1, 2025 – Present
Learning Analytics Tools - NPTEL (Elite Gold, Top 1%)
Indian Institute of Technology Bombay
July 1, 2025 – Present
Advanced Trends in Data Science & Cyber Security
RGNIYD, Tamil Nadu
November 8, 2024 – Present
Python Fundamentals for Beginners
Great Learning Academy
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse applications of data science, including NLP, computer vision, and traditional machine learning. The internships align well with a Data Analyst role, showing practical application of skills in business contexts. The pursuit of certifications in LLMs and Learning Analytics indicates a commitment to continuous learning and staying updated with emerging technologies. This breadth of interest and dedication to skill development suggests a good cultural fit for a dynamic, learning-oriented environment. The academic achievements (UGC-NET qualifications) further underscore a high level of intellectual curiosity and drive.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on end-to-end data analysis and machine learning projects. The detailed descriptions of methodologies (e.g., dual-path PDF ingestion, hybrid retrieval, self-critique loops) indicate a structured and analytical approach to problem-solving. The focus on data validation and documentation during internships highlights attention to detail and a methodical work attitude. However, without direct interview data, specific soft skills like teamwork, leadership, or stress handling cannot be fully assessed.