Akhil Kathi

Data Scientist

https://talent.gravityer.com/akhil-kathi

Hyderabad, Telangana, IndiaMember since June 18, 2026

Key Strengths

Demonstrated interest in Data Science through 'Case-Study-1' and 'Case-Study-2' projects using Jupyter Notebook and Python.
Exposure to multiple programming languages (Python, Java, C++, Scala) indicating foundational programming skills.
Experience with Python, a core language for Data Science, as seen in 'face-recognition-py' and 'programming-excercises'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of interests, from web development (UI, personal-portfolio) to backend (ecommerce) and algorithmic optimization (AlgoOptimize), alongside data science related projects. This diversity suggests adaptability and a willingness to explore different technical domains. The focus on personal projects indicates self-motivation and initiative, which are positive indicators for cultural fit in a proactive environment. However, the depth of engagement in each area, particularly Data Science, needs further validation.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

May 9, 2026 – Present

ui — GitHub repository

View Project

personal-portfolio

April 5, 2025 – May 26, 2025

personal-portfolio — GitHub repository

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AlgoOptimize

March 20, 2023 – March 20, 2023

Optimized Algorithms for questions on websites like Hackathon, Competitive Coding Questions, Top Coder and many more.

View Project

ecommerce

November 21, 2022 – November 21, 2022

Backend for E-Commerce Application

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Case-Study-2

October 13, 2022 – October 13, 2022

Case Study 2 Applied AI

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Case-Study-1

October 13, 2022 – October 13, 2022

Applied AI Course Case Study 1

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programming-excercises

June 14, 2020 – June 14, 2020

programming-excercises — GitHub repository

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face-recognition-py

June 14, 2020 – June 14, 2020

face-recognition-py — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through 'Case-Study-1' and 'Case-Study-2' projects using Jupyter Notebook and Python.
Exposure to multiple programming languages (Python, Java, C++, Scala) indicating foundational programming skills.
Experience with Python, a core language for Data Science, as seen in 'face-recognition-py' and 'programming-excercises'.

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 provided.

Akhil Kathi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit