Nitin Nilesh

Data Scientist

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

Applied Scientist II, Prime Video, Amazon MS by Research, IIIT-Hyderabad, Deep Learning, Computer Vison, IoT, Computational Photography

Amazon

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python, Jupyter Notebook, and relevant ML/DL frameworks (PyTorch implied by scholarship project).
Exposure to diverse areas within Data Science including NLP (Fake News Detection), Computer Vision (Image Captioning, MRF Segmentation, Color Transfer), and time series analysis (Stock Price Insight Generation).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards academic and personal exploration in Data Science. The target role is 'Data Scientist' which aligns with the project themes. However, the listed experience at Amazon as 'Data Scientist' starting in 2026-06-19 with no end date and marked as current, combined with an experience level of 0, suggests a potential data entry error or future role, making it difficult to assess current cultural fit or professional experience. The diversity of projects indicates a curious and learning-oriented individual.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

StockPriceInsightGen

November 22, 2024 – November 22, 2024

StockPriceInsightGen — GitHub repository

View Project

Titanic-Test

July 21, 2024 – July 21, 2024

Titanic-Test — GitHub repository

View Project

IoT-based-AQI-Estimation-using-Image-Processing-and-Learning-Methods

August 28, 2023 – August 29, 2023

IoT-based-AQI-Estimation-using-Image-Processing-and-Learning-Methods — GitHub repository

View Project

Neural-Network-From-Scratch

March 5, 2019 – September 4, 2023

Multilayer Neural Network from Scratch.

View Project

faqs_pytorch_scholarship

November 27, 2018 – January 3, 2019

FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.

View Project

Cog-Sci-WebApp

November 17, 2018 – November 20, 2018

Questionnaire Web app for Cognitive Science Project

View Project

Fake-News-Detection

October 21, 2018 – November 12, 2018

Course Project of IRE M-18

View Project

MRF-Segmentation

February 9, 2018 – April 15, 2018

Markov Random field based semantic segmentation implemented as project for Computer Vision (CSE 578) course at IIIT Hyderabad.

View Project

ConvNet-Image_Captioning

November 11, 2017 – November 26, 2017

SMAI CSE471 Project - Image Captioning

View Project

Color-Transfer-Between-Images

October 16, 2017 – February 6, 2018

Project work of DIP course

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python, Jupyter Notebook, and relevant ML/DL frameworks (PyTorch implied by scholarship project).
Exposure to diverse areas within Data Science including NLP (Fake News Detection), Computer Vision (Image Captioning, MRF Segmentation, Color Transfer), and time series analysis (Stock Price Insight Generation).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Nitin Nilesh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit