Skip to content
View LuisDHuante's full-sized avatar
11 followers · 27 following

Block or report LuisDHuante

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
LuisDHuante/README.md

Hi, I'm Luis David Huante 👋🏻

Data Science graduate from UNAM ENES Morelia with hands-on industry experience in credit risk modeling, business intelligence, and NLP research. I've built ML pipelines for credit risk assessment, designed Power BI dashboards for operational decision-making, and developed NLP systems to detect mental health risk signals in social media data using HuggingFace transformers. Currently focused on RAG systems, AI agents, and data engineering; building scalable pipelines and exploring how LLMs can be grounded in real-world data to power reliable, production-ready applications.

Interests

  • 💻 Data Science · Machine Learning · Deep Learning
  • 🧠 Neuroscience · Psychology · Cognitive Science

What I work with

ML & Data Science — Python · Scikit-learn · PySpark · PyTorch · Fastai
NLP — HuggingFace Transformers · spaCy
Data Engineering — Apache Airflow · Docker · SQL · PostgreSQL · Pandas
BI & Visualization — Power BI · DAX · Seaborn · Plotly · Matplotlib
Tools — Git · Linux · Jupyter · R

Let's connect

Pinned Loading

  1. Marketing-ROI-Analytics-Pipeline-with-PySpark Marketing-ROI-Analytics-Pipeline-with-PySpark Public

    PySpark pipeline measuring email campaign impact on cinema spending via window functions, MLlib regression, and rigorous data leakage correction.

    Jupyter Notebook

  2. NLP-Based-Mental-Health-Assessment NLP-Based-Mental-Health-Assessment Public

    This project uses NLP techniques and the HuggingFace library to detect mental disorders in Telegram users based on their language patterns. Specifically, we aim to identify users who may be at risk…

    Jupyter Notebook 5 1

  3. NetworkAnalysis-And-GraphTheory NetworkAnalysis-And-GraphTheory Public

    This repository contains implementations of various network and graph analysis techniques using Python and the NetworkX library. It includes algorithms for analyzing network structure, measuring ce…

    Jupyter Notebook

  4. Consumer-Behavior-Patterns-Discovery Consumer-Behavior-Patterns-Discovery Public

    This project explores the application of unsupervised learning techniques to segment consumer behavior and enhance marketing decision-making. By analyzing a dataset that includes various metrics on…

    Jupyter Notebook