Nilesh Pranami

Data Scientist

https://talent.gravityer.com/nilesh-pranami

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science through projects like 'SciBert', 'movie_recommender_system', and 'Kaggle_Solution'.
Familiarity with Jupyter Notebook and Python for data-related tasks.
Experience with various personal projects, indicating self-motivation and initiative.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong interest in data science and machine learning through multiple personal projects, which aligns well with a Data Scientist role. The diversity of projects (including C++ and Java) suggests a broad technical curiosity. However, the lack of professional experience or formal education makes it difficult to fully assess cultural fit in a professional setting.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

movie_recommender_system

July 22, 2023 – July 22, 2023

movie_recommender_system — GitHub repository

View Project

ClickMath

March 24, 2023 – March 27, 2023

Android based game

View Project

GitTesting

July 27, 2020 – July 27, 2020

GitTesting — GitHub repository

View Project

Kaggle_Solution

July 25, 2020 – August 1, 2020

Kaggle_Solution — GitHub repository

View Project

NileshPranami

July 12, 2020 – July 12, 2020

NileshPranami — GitHub repository

View Project

Padhai_material

July 8, 2020 – August 1, 2020

Padhai_material — GitHub repository

View Project

TCS_handsOn_ML

May 26, 2020 – May 26, 2020

TCS_handsOn_ML — GitHub repository

View Project

SciBert

April 21, 2020 – June 9, 2020

Creation of word embedding using SciBert

View Project

AlgoCode

March 13, 2019 – August 20, 2019

AlgoCode — GitHub repository

View Project

BankApp2

October 29, 2018 – October 29, 2018

BankApp2 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'SciBert', 'movie_recommender_system', and 'Kaggle_Solution'.
Familiarity with Jupyter Notebook and Python for data-related tasks.
Experience with various personal projects, indicating self-motivation and initiative.

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 are available.

Nilesh Pranami

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit