Kunal Sirpor

Data Scientist

https://talent.gravityer.com/kunal-sirpor

Student.

KunalSirpor

Key Strengths

Exposure to Machine Learning concepts through 'Machine-Learning' project.
Experience with Python, a core language for Data Science, demonstrated in 'Stopwatch' and 'Streamlit-stock' projects.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a range of personal projects, indicating initiative and a willingness to explore different technologies. However, the projects are mostly basic and lack depth, making it difficult to assess cultural fit beyond a general interest in technology. The current role as 'Data Scientist' at 'KunalSirpor' is listed with a future start date (2026), which is unusual and requires clarification. This makes it difficult to assess current professional experience and alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

pokemonv2

April 14, 2023 – April 14, 2023

pokemonv2 — GitHub repository

View Project

Augmented-Reality-Cut-Paste

April 3, 2023 – April 3, 2023

Augmented-Reality-Cut-Paste — GitHub repository

View Project

Recipe-Search

January 29, 2022 – February 6, 2022

Recipe-Search — GitHub repository

View Project

Travel-Advisory

January 26, 2022 – January 28, 2022

Travel-Advisory — GitHub repository

View Project

Streamlit-stock

April 21, 2021 – April 21, 2021

Streamlit-stock — GitHub repository

View Project

Machine-Learning

August 5, 2020 – August 13, 2020

Basic ML based projects.

View Project

Stopwatch

July 31, 2020 – August 3, 2020

Stopwatch — GitHub repository

View Project

Simple-Clock

December 12, 2019 – August 27, 2020

Simple-Clock — GitHub repository

View Project

Key Strengths

Exposure to Machine Learning concepts through 'Machine-Learning' project.
Experience with Python, a core language for Data Science, demonstrated in 'Stopwatch' and 'Streamlit-stock' projects.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Kunal Sirpor

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit