N. L.

Data Scientist

https://talent.gravityer.com/n-l

Ninovation Lab

Member since June 27, 2026

Key Strengths

Demonstrated proficiency in Python for various applications, including backend development (FastAPI) and machine learning.
Experience with Docker for containerization, indicating understanding of deployment practices.
Exposure to machine learning concepts through projects like 'machine-learning_example-project' and 'anomalytics'.
Familiarity with database integration (PostgreSQL with SQLAlchemy) in backend contexts.
Current role as a Data Scientist at Ninovation Lab, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse interest in backend development, machine learning, and even low-level programming (Rust TCP/HTTP). While the current role aligns with 'Data Scientist', the project diversity suggests a broad technical curiosity. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit beyond individual initiative.

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…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Drone-Flight-Planning

November 15, 2024 – November 15, 2024

Drone-Flight-Planning — GitHub repository

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JumpStart

February 5, 2024 – Present

A lean web application template with FastAPI, Uvicorn, Docker, and GitHub Actions.

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anomalytics

December 2, 2023 – Present

The ultimate anomaly detection and its analytics.

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TCP-HTTP-Protocols-in-Rust

May 5, 2023 – May 6, 2023

Rust implementation of TCP/IP and HTTP protocols.

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Decentra1Vorol

April 28, 2023 – April 29, 2023

A repository that contains a couple of projects to learn ICP blockchain and cryptography.

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SE15-ML-Pokemon-App

March 5, 2023 – Present

SE15-ML-Pokemon-App — GitHub repository

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machine-learning_example-project

December 14, 2022 – Present

machine-learning_example-project — GitHub repository

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FastAPI-Backend-Template

December 5, 2022 – Present

A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.

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Aeternalis-Ingenium

December 1, 2022 – October 31, 2023

Aeternalis-Ingenium — GitHub repository

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Magic-Number-Guessing-Game

November 26, 2022 – November 30, 2022

A mini `Rust` project that implements mutability, shadowing, scope, pattern matching, loop, and conditional statement! Goal is.. yes you guessed it! Guess the magic number!

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Key Strengths

Demonstrated proficiency in Python for various applications, including backend development (FastAPI) and machine learning.
Experience with Docker for containerization, indicating understanding of deployment practices.
Exposure to machine learning concepts through projects like 'machine-learning_example-project' and 'anomalytics'.
Familiarity with database integration (PostgreSQL with SQLAlchemy) in backend contexts.
Current role as a Data Scientist at Ninovation Lab, aligning with the target role.

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.

N. L.

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit