CodeWithNK

Data Scientist

https://talent.gravityer.com/codewithnk

CodeWithNK

Key Strengths

Demonstrated interest in Data Science through projects like 'chess_engine_using_python', 'nl2sql', and 'rain_in_austrailia_kaggle'.
Experience with Python, a core language for Data Science.
Exposure to machine learning algorithms (Minmax, Alpha-Beta Pruning, Quiescence Search) and data analysis (Kaggle kernel).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a mix of personal projects, some directly related to Data Science and others in general software development (Java microservices, boilerplate code). This indicates a broad technical interest but also a need to focus more on Data Science specific contributions to align with a target Data Scientist role. The single listed work experience as 'Data Scientist' at 'CodeWithNK' is current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit and practical experience.

Soft Skills & Operational Fit

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

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

flow_os

February 4, 2026 – Present

flow_os — Dev.to repository

View Project

post_training

January 3, 2026 – Present

post_training — Dev.to repository

View Project

nl2sql

November 26, 2025 – Present

NL2SQL is an enterprise-grade, multi-agent NL→SQL system that delivers accurate, safe, and deterministic SQL with schema retrieval, validation, and full observability.

View Project

boilerplate_code

November 1, 2024 – November 13, 2024

Generates Boilerplate code for Python Projects

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doc_generator

September 15, 2024 – Present

A tool to automatically add docstrings to your Python code using Large Language Models (LLMs), ensuring your code remains unchanged except for the addition of docstrings.

View Project

microservice_demo

July 1, 2021 – August 12, 2021

This is a simple microservice demonstration using spring boot.

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rain_in_austrailia_kaggle

April 21, 2021 – April 30, 2021

Kaggle Kernel for Rain In Australia dataset. It predicts whether there will be Rain tomorrow in Australia or not with 85% Accuracy.

View Project

chess_engine_using_python

April 4, 2021 – May 18, 2021

Chess Engine Implementation using Minmax, Alpha-Beta Pruning, and Quiescence Search Algorithm.

View Project

airbnb_for_car

February 24, 2021 – August 5, 2021

Database management project

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spring_boot_multi_module_framework

November 8, 2020 – July 1, 2021

This project aims to help the developer to quickly bootstrap multi-module project.

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'chess_engine_using_python', 'nl2sql', and 'rain_in_austrailia_kaggle'.
Experience with Python, a core language for Data Science.
Exposure to machine learning algorithms (Minmax, Alpha-Beta Pruning, Quiescence Search) and data analysis (Kaggle kernel).

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 provided.

CodeWithNK

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit