Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
fitch
December 26, 2022 – July 9, 2024
Command line system information display utility for Linux systems built with .NET.
View ProjectMLOps.NET
May 19, 2020 – March 3, 2023
A machine learning model operations and management tool for ML.NET
View ProjectMLNETBlazorWASMSample
March 2, 2020 – March 2, 2020
Deploy ML.NET Model alongside Blazor WebAssembly static website sample
View ProjectDeepLearningFromScratchFs
February 20, 2020 – February 20, 2020
Code from Deep Learning From Scratch Book in F#
View ProjectBlazly
September 24, 2019 – March 25, 2024
A .NET Core 3.0 Razor Components Library for Plotly.js
View ProjectRestaurantInspectionsSparkMLNET
September 15, 2019 – October 12, 2019
ETL & Data Enrichment with Spark.NET and ML.NET Automated (Auto) ML
View ProjectPresentations
September 28, 2018 – February 17, 2021
Repository containing presentations given
View ProjectRemarkFS
September 12, 2018 – September 14, 2018
F# Markdown Slide Creation Tool based on Remark
View Projectmlnetacidemo
May 11, 2018 – August 10, 2018
Deploying .NET Machine Learning Models with ML.NET, ASP.NET Core, Docker and Azure Container Instances (ACI)
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong inclination towards .NET ecosystem and open-source contributions. The diversity of projects (MLOps, data enrichment, web components, command-line tools) suggests a broad technical curiosity. However, the target role is 'Data Scientist', and while ML.NET projects are relevant, the overall project portfolio leans heavily into software development rather than deep statistical analysis, advanced modeling, or big data engineering, which are typical for a senior Data Scientist. The lack of professional experience or education details makes it difficult to fully assess cultural fit within a team or corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.