Ritu Sikarwar
Data ScientistNew Delhi, Delhi, IndiaMember since June 19, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML_Practice
January 22, 2026 – Present
This repository contains my hands-on practice notebooks and small projects while learning Machine Learning fundamentals using Python. The focus is on understanding core ML concepts through implementation and experimentation.
View ProjectNews-Headline-Classifier
January 14, 2026 – Present
This repository contains my hands-on practice notebooks and small projects while learning Machine Learning fundamentals using Python. The focus is on understanding core ML concepts through implementation and experimentation.
View ProjectTODO_REACT
August 13, 2025 – August 13, 2025
A simple, interactive Todo application built in React. Users can create tasks, mark them as completed, edit them and remove them from the list. The app demonstrates fundamental React concepts such as component-based architecture, state management using hooks, and conditional rendering, along with a clean, responsive UI powered by Tailwind CSS.
View ProjectFastAPI-HTTP-Verbs
July 31, 2025 – July 31, 2025
This is a beginner-friendly project built using FastAPI and SQLite that demonstrates how to perform full CRUD operations (Create, Read, Update, Delete) on user data. The project follows a modular structure with routers, models, and schemas separated for clean and scalable code. It uses SQLAlchemy ORM for interacting with the SQLite database.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and foundational, indicating a self-starter attitude in learning new technologies. However, the diversity of projects is limited to basic web development and ML/DL practice. The experience level is 0, and there are no professional experiences or team projects listed, making it difficult to assess collaboration or adaptability in a professional setting. The projects align with a learning phase rather than demonstrating professional application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.