Pradeep Kumar Nalluri

Data Scientist

https://talent.gravityer.com/pradeep-kumar-nalluri

Hyderābād, Telangana, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Machine Learning and AI through projects like 'Implementation-of-LSTM-using-Keras' and 'Implementation-of-Back-Propagation-Algorithm'.
Experience with Python, a core language for Data Science.
Exposure to deep learning frameworks (Keras) and concepts (LSTMs, Back Propagation, BERT).
Projects indicate an understanding of data processing and feature engineering ('BlockTraceFeatures').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration in AI/ML, which aligns with a culture of continuous improvement. The diversity of projects, from core algorithms to application development, suggests adaptability. However, without team-based project experience or psychometric data, a comprehensive cultural fit assessment is not possible.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

pyCydonia

June 29, 2022 – July 18, 2022

A python framework for block trace analysis.

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BlockTraceFeatures

June 17, 2022 – July 14, 2023

This repository contains features of various publicly available block traces. The goal is to collect a set of features that can be useful for ML.

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Prefix-Tuning-Bert

November 3, 2021 – June 28, 2022

Tuning BERT

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MEC-Application

October 7, 2018 – November 21, 2018

MEC-Application — GitHub repository

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AI-Course-Work

September 27, 2018 – November 23, 2018

AI Course Assignments

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Software-Engineering

August 10, 2018 – November 23, 2018

Softwware Engineering course Assignments

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Implementation-of-LSTM-using-Keras

July 10, 2017 – July 10, 2017

Python Code to Implement LSTM RNN on Indian Names dataset

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News-Bot-in-Telegram

June 17, 2017 – July 20, 2017

A Simple News Bot in Telegram

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Implementation-of-Back-Propagation-Algorithm

June 16, 2017 – June 25, 2017

Implementation of Back Propagation Algorithm for a Neural Network. The Neural Network is used to classify the types of wheat seeds in the dataset.

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Implementation-of-Priority-Queue-and-Stack

June 13, 2017 – June 13, 2017

Java Implementation of Priority Queue and Stack Data Structures

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Key Strengths

Demonstrated interest in Machine Learning and AI through projects like 'Implementation-of-LSTM-using-Keras' and 'Implementation-of-Back-Propagation-Algorithm'.
Experience with Python, a core language for Data Science.
Exposure to deep learning frameworks (Keras) and concepts (LSTMs, Back Propagation, BERT).
Projects indicate an understanding of data processing and feature engineering ('BlockTraceFeatures').

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.

Pradeep Kumar Nalluri

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit