Aseem Kulkarni

Data Scientist

https://talent.gravityer.com/aseem-kulkarni

IndiaMember since June 13, 2026

Key Strengths

Candidate has experience with Python, which is a core technology for Data Scientists.
Exposure to Jupyter Notebook indicates familiarity with data science environments.
Diverse personal projects demonstrate initiative and self-learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of technologies including Python, JavaScript, Java, HTML, and CSS. While this demonstrates versatility, the majority of projects are web development focused, which does not directly align with a Data Scientist role. The 'streamlit_app' and 'Plant-Monitoring-System-IOE' projects hint at data-related work, but detailed descriptions are lacking. The overall project diversity is good, but the alignment with the 'Data Scientist' target role is moderate.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

streamlit_app

April 1, 2024 – April 1, 2024

streamlit_app — GitHub repository

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TwitterInsight

February 19, 2024 – February 25, 2024

TwitterInsight — GitHub repository

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Plant-Monitoring-System-IOE

October 17, 2023 – January 24, 2025

Plant-Monitoring-System-IOE — GitHub repository

View Project

LAB-5-IP

November 7, 2022 – November 7, 2022

LAB-5-IP — GitHub repository

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IP-LAB-3

November 7, 2022 – November 7, 2022

IP-LAB-3 — GitHub repository

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cns-prac

October 30, 2022 – October 19, 2022

cns-prac — GitHub repository

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Find-a-tutor

October 7, 2022 – December 10, 2022

Find-a-tutor — GitHub repository

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IP-LAB4

October 4, 2022 – October 5, 2022

IP-LAB4 — GitHub repository

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FindaTutor

October 3, 2022 – October 6, 2022

FindaTutor — GitHub repository

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SocialMediaApp

November 14, 2021 – November 14, 2021

SocialMediaApp — GitHub repository

View Project

Key Strengths

Candidate has experience with Python, which is a core technology for Data Scientists.
Exposure to Jupyter Notebook indicates familiarity with data science environments.
Diverse personal projects demonstrate initiative and self-learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Aseem Kulkarni

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit