AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'SnapDoku' and 'JLATT'.
Proficiency in Python, a core language for Data Scientists, evidenced across multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to various programming paradigms (Python, C++, Java, Dart, Verilog) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, many of which align with the 'Data Scientist' target role (e.g., 'SnapDoku', 'JLATT', 'inverse_dse'). The diversity of technologies used (Python, C++, Java, Dart, Verilog, HTML, Shell) suggests a broad interest in technology and a willingness to explore different domains. However, without information on team projects or professional experience, assessing cultural fit beyond technical curiosity is challenging.

Soft Skills & Operational Fit

The provided data does not contain information to assess soft skills or operational fit. All projects are personal, limiting insight into collaboration or work attitude.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Achintya Harsha

Data Scientist

https://www.opentalent.in/achintya-harsha

Bangalore, IndiaMember since June 12, 2026

https://www.opentalent.in/achintya-harsha

Top Skills

Jupyter NotebookPythonVerilogCMakeDartC++SwiftHTMLJavaShell

Skills

Jupyter NotebookPythonVerilogCMakeDartC++SwiftHTMLJavaShell

Projects

inverse_dse

March 17, 2026 – Present

inverse_dse — GitHub repository

View Project

temp

March 15, 2026 – Present

temp — GitHub repository

View Project

gem5_mcpat_parser

November 5, 2025 – November 5, 2025

gem5_mcpat_parser — GitHub repository

JLATT

May 8, 2024 – June 3, 2024

JLATT — GitHub repository

View Project

ApproximateAdders

April 11, 2024 – August 5, 2025

ApproximateAdders — GitHub repository

View Project

ClawBOT

July 10, 2023 – August 2, 2023

A control app for a hand exosteleton built using flutter.

View Project

SnapDoku

April 22, 2023 – April 22, 2023

An Image-based Sudoku Solver using Machine Learning implemented using Python

View Project

Mini-Project

December 28, 2022 – January 7, 2023

Mini-Project — GitHub repository

View Project

Smart-Car-Parking-System

December 7, 2022 – December 8, 2022

Smart-Car-Parking-System — GitHub repository

View Project

Polymath

November 22, 2020 – April 20, 2023

Real time test taking app built using Python

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'SnapDoku' and 'JLATT'.
Proficiency in Python, a core language for Data Scientists, evidenced across multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to various programming paradigms (Python, C++, Java, Dart, Verilog) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data does not contain information to assess soft skills or operational fit. All projects are personal, limiting insight into collaboration or work attitude.