Allan Ninal
Data ScientistTalisay, Cebu, PhilippinesMember since June 21, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agentic-ai-workflow
May 15, 2025 – May 15, 2025
This repository contains code examples for building agentic AI workflows using OpenRouter API, which provides access to multiple AI models (OpenAI, Anthropic, Google, etc.) through a single, consistent interface.
View Projecttoxic-comment-detector
December 12, 2024 – December 12, 2024
The Toxic Comment Detector is a tool powered by Hugging Face’s unitary/toxic-bert model, designed to identify harmful, offensive, or abusive language in real time. Built with a ReactJS frontend and a Flask backend, it provides detailed insights into toxicity levels, enabling safer online environments.
View Projectmultilingual-translator
December 9, 2024 – December 9, 2024
The Multilingual Translator is a real-time text translation tool built using Hugging Face’s Helsinki-NLP/opus-mt models. It supports multiple language pairs and provides instant translations via a responsive ReactJS frontend and a scalable Flask backend. Perfect for breaking language barriers in travel, education, business, and more!
View Projectkeyword-extractor
December 8, 2024 – December 8, 2024
The Keyword Extractor leverages Hugging Face’s facebook/bart-large-mnli model to extract relevant keywords or categories from text. Built with a ReactJS (Vite) frontend and a Flask backend, this tool delivers real-time, AI-powered keyword extraction. Perfect for content creators, researchers, and marketers!
View Projectdocument-summarizer
December 7, 2024 – December 7, 2024
The Document Summarizer leverages Hugging Face’s facebook/bart-large-cnn model to transform lengthy documents into concise summaries. Built with ReactJS (Vite) for the frontend and Flask for the backend, it supports PDF and text files, offering real-time summarization for researchers, students, and professionals.
View Projectrecipe-finder
December 6, 2024 – December 6, 2024
The Recipe Finder App helps users discover recipes based on the ingredients they have at home. Built with ReactJS and Vite for a responsive interface and powered by the Spoonacular API, it provides dynamic, real-time recipe suggestions with ingredient match scores.
View Projectai-resume-analyzer
December 5, 2024 – December 5, 2024
The AI Resume Analyzer is a powerful tool that leverages Hugging Face’s dslim/bert-base-NER model to extract key details like skills, certifications, and organizations from resumes. It supports PDF and text files, processes data in real-time, and presents structured, easy-to-review insights for job seekers and recruiters.
View Projectpersonal-ai-chatbot
December 4, 2024 – December 4, 2024
This repository contains a Personal AI Chatbot project built with Hugging Face’s DialoGPT-medium model, Flask for the backend, and ReactJS (using Vite) for the frontend. The chatbot allows users to interact with an AI in real-time, offering context-aware and human-like responses.
View Projectimage-captioning-app
December 3, 2024 – December 3, 2024
A full-stack AI-powered image captioning app built with ReactJS (using Vite) and Flask. Users can upload images, and the app generates descriptive captions using Hugging Face’s BLIP model. Perfect for showcasing AI integration and web development skills in a mini-project.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML application development, aligning well with roles requiring practical implementation of machine learning models. The projects are diverse in their application areas (NLP, computer vision, general AI agents) but consistently leverage Hugging Face models and a React/Flask stack. This indicates a focused skill set within AI application development. However, the absence of team projects or professional experience makes it difficult to assess collaboration or broader organizational fit. The experience level is 0, suggesting this is an entry-level or junior candidate, which might not align with a 'senior' Data Scientist role without significant upskilling.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a practical, application-oriented approach to problem-solving. The consistent use of a ReactJS/Flask stack across multiple projects suggests a preference for established frameworks and a focus on delivering functional prototypes. Without psychometric test results, specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration cannot be assessed.