Purvi Harniya

Data Scientist

https://talent.gravityer.com/purvi-harniya

Mumbai, Maharashtra, IndiaMember since June 18, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (IrisPredictor, SPAR10, TSF-data-science-business-analytics, HousePricePrediction, Fake-news-detection).
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various aspects of data science, including prediction, analytics, and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across different domains, including data science and web development. This indicates a proactive and self-driven individual. The diversity of projects, while broad, suggests an adaptable mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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Projects

Fake-news-detection

November 12, 2021 – November 15, 2021

Fake-news-detection — GitHub repository

View Project

SPAR10

October 13, 2021 – May 13, 2022

SPAR10 — GitHub repository

View Project

Purviharniya

July 5, 2021 – February 21, 2022

Purviharniya — GitHub repository

View Project

crayola

June 23, 2021 – June 23, 2021

crayola — GitHub repository

View Project

HousePricePrediction

June 14, 2021 – June 14, 2021

HousePricePrediction — GitHub repository

View Project

IrisPredictor

May 30, 2021 – June 5, 2021

IrisPredictor — GitHub repository

View Project

Flix

May 1, 2021 – June 12, 2021

Flix — GitHub repository

View Project

TSF-data-science-business-analytics

January 8, 2021 – January 20, 2021

TSF-data-science-business-analytics — GitHub repository

View Project

Spotify

September 26, 2020 – May 17, 2021

Spotify — GitHub repository

View Project

AC_EC

January 20, 2020 – December 7, 2022

AC_EC — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (IrisPredictor, SPAR10, TSF-data-science-business-analytics, HousePricePrediction, Fake-news-detection).
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various aspects of data science, including prediction, analytics, and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Purvi Harniya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit