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I am Daksh Agarwal, Majoring B-tech in CSE with Specialization in AIML from SRM Institute of Science and Technology Ghaziabad. I am very Passionate Coder.
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Assessing your cultural and operational fit
TCS
Data Scientist
June 19, 2026 – Present
lila-store
June 9, 2026 – Present
React + Vite women’s wear storefront with cart, checkout, admin dashboard, and order management.
View ProjectVehicle-Insurance-Website
May 27, 2026 – Present
A full-stack Vehicle Insurance Management System built with Angular and Spring Boot, featuring role-based Admin and Underwriter portals, policy creation, renewal, type updates, invoice downloads, underwriter management, validation workflows, and H2-backed policy history tracking.
View ProjectPrivate-Course-AI-Navigator
February 21, 2026 – Present
Private-Course-AI-Navigator — GitHub repository
View ProjectCredit-Card-Fraud-Detection
February 12, 2026 – Present
A machine learning project that detects fraudulent credit card transactions using Logistic Regression. It features data preprocessing, handles extreme class imbalance through random undersampling, and achieves over 91% accuracy on test data.
View ProjectRBAC-Authentication-System
December 29, 2025 – Present
RBAC-Authentication-System — GitHub repository
View ProjectAgentRAG-Chatbot
November 27, 2025 – December 17, 2025
AgentRAG-Chatbot — GitHub repository
View ProjectConvoPro-Private-ChatGpt
November 19, 2025 – November 19, 2025
# convopro-private-chatgpt Convopro is a secure, self-hosted ChatGPT-style application built with Streamlit, MongoDB, Docker, and AWS EC2. It provides a simple and user-friendly chat interface where users can interact with configurable LLMs while keeping all data private.
View ProjectHandwritten-Digits-Classification
November 15, 2024 – November 15, 2024
The MNIST Handwritten Digits Classification project uses Python, TensorFlow, Keras, and Streamlit to classify 28x28 images of handwritten digits. A trained CNN model predicts digits, and a Streamlit-based frontend allows users to upload images for real-time predictions. This project highlights deep learning's application in image classification
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and development, particularly in AI/ML. The diversity of projects, from e-commerce to insurance systems and various AI applications, suggests adaptability and a broad interest in technology. The current role as a Data Scientist at TCS aligns well with the target role. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, as evidenced by numerous personal projects. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.