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Data Science with 1+ years in Data Analytics, AI & Machine Learning
Data professional with ~1 year of experience in Data Analytics, Data Science, and AI-driven solutions. Skilled in data cleaning, EDA, KPI tracking, and building interactive dashboards using Power BI and Excel to support data-driven decision-making. Hands-on experience with Microsoft Fabric and Databricks for scalable data processing and analytics. Familiar with Machine Learning, NLP, Generative AI, and RAG-based applications, with experience in predictive modeling and text analytics. Knowledge of Power Platform tools including Power Apps and Power Automate, along with foundational understanding of Microsoft Azure and AWS. Strong analytical thinking, problem-solving, and communication skills.
National Institute of Science and Technology (NIST)
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
ITRadiant Solutions Pvt. Ltd.
Data Scientist
April 1, 2025 – Present
India
Diabetic Retinopathy Detection
June 25, 2026 – Present
Developed an end-to-end Streamlit-based web application using Convolutional Neural Networks (CNN) to detect diabetic retinopathy from retinal images, achieving 92% model accuracy through effective model training and evaluation. Performed data preprocessing, image augmentation, and feature optimization to enhance model generalization and reliability, enabling accurate prediction and supporting early-stage diagnosis insights.
AI Travel Planner
June 25, 2026 – Present
Designed and developed an AI-powered travel planning system to automate itinerary creation and budget management using Python and generative AI tools. Implemented a multi-agent architecture for destination research, cost optimization, and itinerary generation, integrating real-time data retrieval to deliver personalized and data-driven travel recommendations.
RAG-Based Document Question Answering System
June 25, 2026 – Present
Designed and developed an end-to-end Retrieval-Augmented Generation (RAG) system using LangChain, ChromaDB, Hugging Face embeddings, and Groq LLAMA 3.3 for intelligent document retrieval and AI-powered question answering. Implemented document chunking, semantic search, vector database storage, and LLM-based response generation with an evaluation framework achieving 97.6% accuracy on the test dataset.
Top 5 percentile in Kaggle Competition
Kaggle
March 1, 2025 – Present
Data Analysis with Python
IBM
February 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in cutting-edge AI/ML technologies through personal projects like Diabetic Retinopathy Detection, AI Travel Planner, and RAG-based systems. This aligns well with an innovative and data-driven culture. The breadth of skills across data analysis, machine learning, and generative AI, combined with experience in both corporate (ITRadiant Solutions) and personal projects, suggests adaptability and a continuous learning mindset. The Kaggle achievement further indicates a competitive and results-oriented approach.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical thinking, problem-solving, and communication skills, which are crucial for a Data Scientist role. The project descriptions suggest an ability to work on complex problems and deliver end-to-end solutions. The mention of collaboration and teamwork as business skills indicates a potential for good operational fit within a team environment.