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open-langgraph-agentic-system
November 15, 2025 – November 16, 2025
Open Agentic AI System w/ LANGGRAPH. A fully autonomous AI agent built with LangGraph
View Projectbanking_fraud_analysis
March 23, 2024 – March 29, 2024
Fraud Detection Analysis for Banking Transactions. Advanced algorithms and machine learning models to analyze and identify fraudulent activities in financial transactions.
View Projectbayeasian-optimization
December 10, 2023 – December 10, 2023
Bayesian Optimization for hyperparameter tuning in machine learning using a Jupyter Notebook. This repository demonstrates optimizing a Gradient Boosting Classifier with practical examples and clear explanations.
View Projectdata-quality-great-expectation
December 10, 2023 – March 30, 2024
data-quality-great-expectation — repository
View Projectdeep-floorplan-recognition
May 12, 2021 – March 29, 2024
State-of-the-art Floor Plan Recognition System. This innovative software utilizes advanced algorithms to accurately interpret and analyze architectural floor plans.
View Projectnubank-credit-risk-analysis
May 6, 2021 – July 31, 2021
Data Science and Machine Learning based techniques to explore the credit card risk of users using the Nubank dataset.
View Projectintelligent-housing-porfolio-optmization
April 16, 2021 – July 31, 2021
Housing portolio optimization based on houses properties and survival analysis considering pricing and time on market (liquidity) .
View Projectnre-transformers
May 3, 2020 – March 31, 2024
Neural relation extraction (NRE) system that utilizes Transformer models, specifically BERT, to identify and classify relationships between entities in text.
View Projectintelligent-chatbot-prolog
July 28, 2018 – March 10, 2024
The application developed is a chatbot that simulates a presidential candidate. The chatbot is written in Prolog and aims to show the power of the language for use in AI
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for AI and Data Science through numerous personal projects. The diversity of projects (NLP, computer vision, financial modeling, optimization) suggests a curious and adaptable individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment. The target role 'Data Scientist' aligns well with the candidate's project portfolio.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and initiative in personal projects.