Avinash Kanumuru

Data Scientist

https://talent.gravityer.com/avinash-kanumuru

40 Under 40 Data Scientist . AI/ML . Gen AI . Data Scientist . Data Engineering

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'ml-utils' and 'pyspark-utils'.
Proficiency in Python, as evidenced by multiple personal projects.
Experience with PySpark for ETL and ML, indicating familiarity with big data processing.
Familiarity with Jupyter Notebook for data exploration and analysis.
Exposure to Dockerfile for containerization, suggesting an understanding of deployment practices.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive approach to learning and building tools relevant to data science. The diversity of projects, from utility libraries to Kaggle notebooks, suggests a self-starter mentality. However, without professional experience or team-based projects, it's difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

py-project-template

May 5, 2025 – May 5, 2025

py-project-template — GitHub repository

View Project

logpy

July 20, 2024 – July 22, 2024

A custom logger with color formating and ease of use

View Project

avinashknmr

July 3, 2024 – December 7, 2025

avinashknmr — GitHub repository

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avinashknmr.github.io

July 3, 2024 – May 8, 2025

avinashknmr.github.io — GitHub repository

View Project

pyspark-utils

May 22, 2024 – May 20, 2025

PySpark reusable scripts for ETL and ML

View Project

data-science-tools

January 29, 2024 – February 1, 2024

data-science-tools — GitHub repository

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wordle-solver

August 3, 2022 – August 3, 2022

Wordle Solver

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kaggle-notebooks

February 23, 2022 – August 3, 2022

Storing all Kaggle Notebooks

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ml-utils

June 6, 2021 – May 20, 2025

Handy functions for all binary classification modelling problems including visualisations, scoring metrics - psi, ks, gini.

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'ml-utils' and 'pyspark-utils'.
Proficiency in Python, as evidenced by multiple personal projects.
Experience with PySpark for ETL and ML, indicating familiarity with big data processing.
Familiarity with Jupyter Notebook for data exploration and analysis.
Exposure to Dockerfile for containerization, suggesting an understanding of deployment practices.

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.

Avinash Kanumuru

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit