Rahul Halkarni

Data Scientist

https://talent.gravityer.com/rahul-halkarni

enthusiastic to learn new things !!

Student

Key Strengths

Demonstrated interest in Data Science through projects like 'Aloevera-Disease-Classification-Using-CNN', 'Stock-Data-Pipeline-with-Airflow', and 'House_prediction'.
Experience with Python, a core language for Data Science.
Familiarity with machine learning concepts (CNN, scikit-learn) and web application development (Flask) for deploying models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of interests, including machine learning, robotics, and web development. While many projects align with the 'Data Scientist' target role, there are also projects in C++ and front-end development (HTML, CSS, JavaScript, TypeScript) that suggest a broader technical interest. The candidate is currently listed as a 'Student' with an experience level of 0, indicating a junior profile. The project descriptions are generally brief, making it difficult to fully assess the depth of involvement or collaborative experience. The breadth of technologies used across projects could indicate adaptability, but also a lack of deep specialization in a single area relevant to a senior Data Scientist role.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Portfolio-Website

June 8, 2026 – Present

https://rahul-por.netlify.app/

View Project

biologics-latchbio

June 8, 2026 – Present

biologics-latchbio — GitHub repository

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Stock-Data-Pipeline-with-Airflow

December 5, 2025 – December 6, 2025

Stock Data Pipeline with Airflow

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House_prediction

August 23, 2025 – September 1, 2025

A machine learning web app that predicts house prices in Bangalore using details like BHK, square footage, location, area type, and metro connectivity. Built with Flask, scikit-learn, and a responsive CSS frontend.

View Project

uptoskills

January 18, 2025 – January 19, 2025

uptoskills — GitHub repository

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Aloevera-Disease-Classification-Using-CNN

December 1, 2024 – July 30, 2025

Aloevera-Disease-Classification-Using-CNN — GitHub repository

View Project

PyHack24-Dominators-15

May 26, 2024 – June 7, 2024

PyHack24-Dominators-15 — GitHub repository

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Smart_water_Irrigation_System

January 20, 2024 – April 23, 2024

Smart_water_Irrigation_System — GitHub repository

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Racing-Robot-Using-Arduino-main

January 20, 2024 – January 20, 2024

Racing-Robot-Using-Arduino-main — GitHub repository

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Control-YouTube-player-with-hand-gestures

December 18, 2023 – December 18, 2023

Control YouTube player using hand gestures and automatically pause the video if user is sleeping or has left.

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Aloevera-Disease-Classification-Using-CNN', 'Stock-Data-Pipeline-with-Airflow', and 'House_prediction'.
Experience with Python, a core language for Data Science.
Familiarity with machine learning concepts (CNN, scikit-learn) and web application development (Flask) for deploying models.

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.

Rahul Halkarni

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit