Nitin Narayanan

Data Scientist

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

Backend Engineer

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (ASL-To-Speech-Rpi, ASL-to-Speech, DOTA2-Match-Result-Prediction, Classifer-from-Imbalanced-Data, Laptop-price-predictor).
Experience with Python, a core language for Data Science.
Exposure to deep learning concepts (CNN model, tachnet library).
Familiarity with Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, self-directed learning and development, which can indicate initiative. The diversity of projects, including web development (Spry, Tiery) and system tools (QWERTY, quora-plus-bypass), suggests a broad technical curiosity. However, without information on team involvement or project motivations beyond technical execution, assessing cultural fit for a collaborative environment is challenging. The focus on personal projects aligns with a self-starter mentality, which can be a positive cultural attribute.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Tiery

January 13, 2024 – January 24, 2024

A social media site where you share and view tier lists

View Project

Laptop-price-predictor

February 28, 2022 – May 2, 2022

Laptop-price-predictor — GitHub repository

View Project

Spry

February 18, 2022 – February 27, 2022

A public transport fleet management system.

View Project

quora-plus-bypass

January 1, 2022 – May 11, 2023

A python script to extract answers to any question on Quora (Quora+ included)

View Project

ASL-To-Speech-Rpi

December 6, 2021 – December 8, 2021

A pi setup to recognize ASL signs using a pre-trained CNN model and speak it out using a suitable TTS engine with adaptive settings.

View Project

Classifer-from-Imbalanced-Data

September 22, 2021 – December 2, 2021

Classifer-from-Imbalanced-Data — GitHub repository

View Project

ASL-to-Speech

August 13, 2021 – December 2, 2021

TTS-engine and Tensorflow powered model to convert ASL to speech.

View Project

tachnet

July 24, 2021 – January 3, 2022

Deep-learning library written in C for Python

View Project

DOTA2-Match-Result-Prediction

July 18, 2021 – July 20, 2021

Dota 2 match result prediction benchmarking using a multitude of machine learning classification algorithms and datasets with different feature sets.

View Project

QWERTY

February 26, 2021 – June 8, 2021

Visual and Functional overhaul of UNIX shell made in Go.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (ASL-To-Speech-Rpi, ASL-to-Speech, DOTA2-Match-Result-Prediction, Classifer-from-Imbalanced-Data, Laptop-price-predictor).
Experience with Python, a core language for Data Science.
Exposure to deep learning concepts (CNN model, tachnet library).
Familiarity with Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.

Nitin Narayanan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit