Avishek Nayak

Data Scientist

https://talent.gravityer.com/avishek-nayak

ML enthusiast who loves innovation and building new things

India

Key Strengths

Demonstrated interest in Machine Learning algorithms through multiple personal projects (Stock prediction, Wine quality, Music popularity, Image classification).
Experience with fundamental ML algorithms like Linear Regression, Logistic Regression, Support Vector Machines, and basic Neural Networks.
Proficiency in Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through a variety of personal projects, indicating a self-starter attitude. The projects are diverse, ranging from machine learning to basic web development and blockchain, suggesting a broad interest in technology. However, the depth of these projects is not fully clear from the descriptions. Alignment with a 'Data Scientist' role is strong in terms of project topics, but the lack of professional experience or advanced certifications limits the assessment of cultural fit for a senior role.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Wine

December 26, 2019 – January 19, 2020

Detection of wine quality using linear regression and logistic regression algorithms in machine learning

View Project

Stock

December 23, 2019 – January 6, 2020

Sock prediction with the help of Linear Regression and Support Vector Machine Algorithms in Machine Learning

View Project

mucicML

December 20, 2019 – January 9, 2020

linear regression with multiple coefficients applied on top 50 songs to find their popularity

View Project

Deep-Neural-Network

April 7, 2019 – April 7, 2019

Deep-Neural-Network — GitHub repository

View Project

Image-Classification-Cat-vs-Non-Cat-

April 7, 2019 – January 19, 2020

Image-Classification-Cat-vs-Non-Cat- — GitHub repository

View Project

Offline-Positional-Co-ordinates-

April 1, 2019 – January 16, 2020

Helps to find out an exact location with co-ordinates without internet connection

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Planar-Data-Classification-with-One-Hhidden-Layer

March 30, 2019 – March 30, 2019

Planar-Data-Classification-with-One-Hhidden-Layer — GitHub repository

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Crypto

March 30, 2019 – March 30, 2019

Block chain with node.js

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project3

March 30, 2019 – March 30, 2019

Fundamental web page with particle.js

View Project

Qr-Code

March 30, 2019 – March 30, 2019

Generation of a QR CODE with user input

View Project

Key Strengths

Demonstrated interest in Machine Learning algorithms through multiple personal projects (Stock prediction, Wine quality, Music popularity, Image classification).
Experience with fundamental ML algorithms like Linear Regression, Logistic Regression, Support Vector Machines, and basic Neural Networks.
Proficiency in Python and Jupyter Notebook for data science tasks.

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 or problem-solving approaches.

Avishek Nayak

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit