Kritika Parmar
Data ScientistMLE
IndiaMember since June 13, 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
MLE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RAG-Pipeline
November 4, 2024 – November 5, 2024
A simple Retrieval-Augmented Generation (RAG) pipeline for answering questions based on website content. This project combines retrieval of relevant website information with generative models to deliver contextually accurate answers.
View ProjectDeepLearning
May 1, 2021 – March 14, 2022
This repository contains notebooks on Deep Learning
View ProjectML_Notebooks
January 7, 2021 – January 7, 2021
This repository is a collection of Jupyter Notebooks 📔containing Exploratory Data Analysis 📊 and Models on different Datasets which are taken from kaggle.
View ProjectAmara_Voice_Assistant
January 1, 2021 – January 1, 2021
Amara voice assistant 🔊🎙 is made with python. Get ready to give some orders.
View ProjectHealthCheck
November 7, 2020 – November 1, 2023
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
View Projectkritikaparmar-programmer
August 12, 2020 – July 17, 2025
kritikaparmar-programmer — GitHub repository
View ProjectSKlearn-IRISDataset
July 27, 2020 – July 27, 2020
This repo contains EDA on famous IRIS dataset. Also I've compared various Models like Naive bayes, SVM, Logistic Regression.
View ProjectFlask_App
June 13, 2020 – March 20, 2021
A Blogging website made with the Python Framework FLASK
View ProjectWEblog
June 13, 2020 – November 22, 2022
WEblog is a blogging website that I made with the help of Django, a python-based framework.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science and web development. The diversity of projects (ML apps, RAG pipeline, voice assistant, blogging websites) suggests a proactive and curious individual. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.