Luis Quintanilla

Data Scientist

https://www.opentalent.in/luis-quintanilla

Desert of the realMember since June 26, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like MLOps.NET, RestaurantInspectionsSparkMLNET, and mlnetacidemo.
Experience with ML.NET framework, indicating practical application of machine learning concepts.
Proficiency in C++ and F# for various development tasks, including system utilities and web components.
Exposure to MLOps concepts, Docker, and Azure Container Instances for model deployment.

Cultural & Operational Fit

Cultural 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.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

fitch

December 26, 2022 – July 9, 2024

Command line system information display utility for Linux systems built with .NET.

View Project

luisquintanilla.me

March 8, 2021 – Present

My personal website

View Project

MLOps.NET

May 19, 2020 – March 3, 2023

A machine learning model operations and management tool for ML.NET

View Project

MLNETBlazorWASMSample

March 2, 2020 – March 2, 2020

Deploy ML.NET Model alongside Blazor WebAssembly static website sample

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DeepLearningFromScratchFs

February 20, 2020 – February 20, 2020

Code from Deep Learning From Scratch Book in F#

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Blazly

September 24, 2019 – March 25, 2024

A .NET Core 3.0 Razor Components Library for Plotly.js

View Project

RestaurantInspectionsSparkMLNET

September 15, 2019 – October 12, 2019

ETL & Data Enrichment with Spark.NET and ML.NET Automated (Auto) ML

View Project

Presentations

September 28, 2018 – February 17, 2021

Repository containing presentations given

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RemarkFS

September 12, 2018 – September 14, 2018

F# Markdown Slide Creation Tool based on Remark

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mlnetacidemo

May 11, 2018 – August 10, 2018

Deploying .NET Machine Learning Models with ML.NET, ASP.NET Core, Docker and Azure Container Instances (ACI)

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like MLOps.NET, RestaurantInspectionsSparkMLNET, and mlnetacidemo.
Experience with ML.NET framework, indicating practical application of machine learning concepts.
Proficiency in C++ and F# for various development tasks, including system utilities and web components.
Exposure to MLOps concepts, Docker, and Azure Container Instances for model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Luis Quintanilla

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit