Kacper Nowak

Data Scientist

https://www.opentalent.in/kacper-nowak

AWI

Key Strengths

Strong foundation in Python for data science and numerical modeling, evidenced by multiple projects like 'climsight', 'atmorep', 'implicit_filter', and 'neural_preconditioner'.
Experience with large language models (LLMs) and high-resolution climate model data, directly relevant to advanced data science applications.
Proficiency in scientific computing and numerical methods, demonstrated through projects involving shallow water equations and unstructured meshes.
Exposure to diverse programming languages including Python, C++, Fortran, Julia, and Java, indicating adaptability and broad technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong interest in scientific computing, climate modeling, and data analysis, which aligns well with research-oriented or data-intensive environments. The diversity of technologies used (Python, C++, Fortran, Julia, Java, JavaScript, TypeScript) suggests a willingness to learn and adapt. However, the candidate's experience level is listed as 0, with a current role as 'Data Scientist' starting in the future (2026), which creates an inconsistency. This makes it difficult to fully assess cultural fit based on actual professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.

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Projects

neural_preconditioner

March 15, 2025 – Present

neural_preconditioner — GitHub repository

View Project

atmorep

October 9, 2023 – March 10, 2025

AtmoRep model code

View Project

climsight

September 26, 2023 – Present

A next-generation climate information system that uses large language models (LLMs) alongside high-resolution climate model data, scientific literature, and diverse databases to deliver accurate, localized, and context-aware climate assessments.

View Project

implicit_filter

August 10, 2023 – Present

Python package for filtering data on unstructured meshes

View Project

pogoda

January 1, 2023 – January 1, 2023

Simple weather app made with JavaFx

View Project

domain-decomposition-API

January 1, 2023 – January 1, 2023

Domian decomposition API is a part of larger geophysical model project

View Project

CLIC

January 1, 2023 – January 1, 2023

Monte-Carlo simulation of top quark mass measurement and its optimization using genetic algorithm

View Project

swm

November 30, 2022 – April 4, 2023

Numerical solver for the shallow water equations

View Project

JNP1_4

November 23, 2018 – December 3, 2018

JNP1_4 — GitHub repository

View Project

JNP1-Zadanie3

November 5, 2018 – November 20, 2018

JNP1-Zadanie3 — GitHub repository

View Project

Key Strengths

Strong foundation in Python for data science and numerical modeling, evidenced by multiple projects like 'climsight', 'atmorep', 'implicit_filter', and 'neural_preconditioner'.
Experience with large language models (LLMs) and high-resolution climate model data, directly relevant to advanced data science applications.
Proficiency in scientific computing and numerical methods, demonstrated through projects involving shallow water equations and unstructured meshes.
Exposure to diverse programming languages including Python, C++, Fortran, Julia, and Java, indicating adaptability and broad technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Kacper Nowak

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit