Pranay Narsipuram

Data Scientist

https://talent.gravityer.com/pranay-narsipuram

Member since June 24, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'AImpostor', 'PML', and 'MLOperation-FinalProject'.
Exposure to various programming languages including Python, R, C++, and Rust, indicating versatility.
Experience with Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive learning approach and an interest in diverse technical areas, which could indicate a good cultural fit for an innovative and learning-oriented environment. Projects like 'SM2324_GroupK' for a Statistical Methods course align well with a 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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Assessing your cultural and operational fit

Projects

AImpostor

May 15, 2026 – Present

AImpostor — repository

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LCSA

February 7, 2026 – Present

Normalizing OS event primitives into semantic signals that local AI can understand.

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scatterbrain

December 4, 2025 – Present

scatterbrain — repository

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MLOperation-FinalProject

December 5, 2024 – February 15, 2025

MLOperation-FinalProject — repository

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cloud

July 11, 2024 – July 11, 2024

cloud — repository

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HPC_final

July 4, 2024 – July 8, 2024

HPC_final — repository

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final_hpc_ex_1_2

June 29, 2024 – July 4, 2024

final_hpc_ex_1_2 — repository

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PML

May 16, 2024 – May 16, 2024

PML — repository

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SM2324_GroupK

January 15, 2024 – March 19, 2025

This repository contains the final project for the Statistical Methods course. MSc courses in Data Science and Scientific Computing, Data Science and Artificial Intelligence, Scientific and Data Intensive Computing. University of Trieste.

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learn_statistics

October 18, 2023 – October 18, 2023

learn_statistics — repository

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'AImpostor', 'PML', and 'MLOperation-FinalProject'.
Exposure to various programming languages including Python, R, C++, and Rust, indicating versatility.
Experience with Jupyter Notebooks, a common tool in data science workflows.

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.

Pranay Narsipuram

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit