Python, AI-ML, Cloud and Unix | https://rvat20.github.io |
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AutoProcure-AI
March 21, 2026 – Present
AutoProcure AI is an autonomous web agent that does the grunt work of procurement for you—searching real supplier websites, navigating messy interfaces, filling RFQs, and collecting quotes in real time. Intelligent system that actually works on the live web.
View Projectmarket-monitor
February 26, 2026 – Present
Real-time Nifty 50 & Sensex monitor with RSI/MACD/EMA signals via Upstox API
View Projectjira-attachment-scraper
April 12, 2025 – April 12, 2025
jira-attachment-scraper — GitHub repository
View ProjectLLM-Classification-Finetuning
November 26, 2024 – November 27, 2024
Welcome to the LLM Classification Finetuning repository! This project focuses on fine-tuning large language models (LLMs) for text classification tasks.
View ProjectRAG-LLM-APP
October 28, 2024 – January 1, 2025
This repo contains useful OpenAI-Python-Scripts for automating small tasks. This app integrates retrieval mechanisms to fetch relevant documents and uses LLMs to generate coherent and informative outputs based on the retrieved information.
View ProjectPython-Financial-Analysis
October 28, 2024 – November 30, 2024
This repository contains a collection of Python scripts and Jupyter notebooks for analyzing financial data. Whether you're a data scientist, financial analyst, or just someone interested in finance, you'll find useful tools here to help you make sense of financial data.
View Projectpython-ollama
October 22, 2024 – November 13, 2024
Python-llama Agents, LLM-Rag-Application, Aenerative-AI, Machine-Learning. Model Training, Implementing various machine learning algorithms such as Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting. Model Evaluation: Assessing model performance
View Projectrvats20
April 14, 2023 – Present
This is my home repo on GitHub where I have provided most pf my work details and project updates. I will continuously update it which latest info, feel free to explore..
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong personal drive and interest in exploring various data science and AI topics. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects are diverse but lack depth in specific areas, which might indicate a broad but not deeply specialized interest. The target role is Data Scientist, and the projects align with this domain, but the 'experienceLevel' is 0, suggesting a junior profile despite the advanced project topics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.