Kritika Parmar

Data Scientist

https://talent.gravityer.com/kritika-parmar

MLE

IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through personal projects.
Experience with Flask and Django for web application development, indicating some full-stack understanding.
Proficiency in Python, a core language for Data Science.
Exposure to various ML models (Naive Bayes, SVM, Logistic Regression) and EDA techniques.

Cultural & Operational Fit

Cultural 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.

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Projects

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.

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Text_Generation

August 13, 2022 – August 13, 2022

Text_Generation — GitHub repository

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DeepLearning

May 1, 2021 – March 14, 2022

This repository contains notebooks on Deep Learning

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ML_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.

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Amara_Voice_Assistant

January 1, 2021 – January 1, 2021

Amara voice assistant 🔊🎙 is made with python. Get ready to give some orders.

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HealthCheck

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.

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kritikaparmar-programmer

August 12, 2020 – July 17, 2025

kritikaparmar-programmer — GitHub repository

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SKlearn-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.

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Flask_App

June 13, 2020 – March 20, 2021

A Blogging website made with the Python Framework FLASK

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WEblog

June 13, 2020 – November 22, 2022

WEblog is a blogging website that I made with the help of Django, a python-based framework.

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Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through personal projects.
Experience with Flask and Django for web application development, indicating some full-stack understanding.
Proficiency in Python, a core language for Data Science.
Exposure to various ML models (Naive Bayes, SVM, Logistic Regression) and EDA techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

Kritika Parmar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit