About Me
Hi! I’m a Data Scientist based in Madrid, Spain. I specialize in Computer Vision, Deep Learning, NLP, and Data Analysis. Currently, I’m working at EIPSA S.A., where I develop object detection models for metallurgy companies, automate data entry processes, generate tracking reports for received documentation, and implement deep learning solutions for identifying technical drawings. Contact me via jparedescolmenarejo@gmail.com.
My Repositories
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Paredes, J. “Fluorescent Penetrant Inspection Test, Detection of liquid penetrant test with AI” (YOLO11) Development of object detection models tailored for metallurgy companies. (FPI, DP, LPI, PT)
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Paredes, J. “Data Extraction from DXF Files for entity identification in technical drawings”
Implementation of deep learning algorithms for the recognition and classification of technical drawings, enabling automated documentation handling.
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Paredes, J. “Email MAPI Tools Automation” Automation of documentation entry through email (Outlook/IMAP) to excel and BBDD (ERP).
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Serrano, E., Paredes, J. “EIPSA ERP” Based on an ERP (Enterprise Resource Planning) system to manage the different daily activities of the different sections of the company.
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Paredes, J. “Welding Defects Detector, detection of welding defects with AI” (YOLO11)
Development of object detection models tailored for metallurgy companies.
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Paredes, J. “HLTV Team and Player Stats Scraper” Scraping and data analysis of each individual and team player for the Counter Strike 2 competitive game.
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Paredes, J. “Twitter - Sentiment Analysis with Emojis” using emojis to classify the emotional tone of tweets. By leveraging Natural Language Processing (NLP) techniques.
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Paredes, J. “Twitter Sentiment Analysis” identifying positive and negative emotions while exploring various natural language characteristics.
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Paredes, J. “Analysis of Traffic Accidents” Analysis and predictions of Traffic Accidents in the City of Madrid
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Paredes, J. “Image & Vision Classification of Futurama Frames” Identification characters in Futurama frames - Kaggle Competition 🥉3º position - ResNet152 & Keras/Tensorflow
[kaggle] [code]
<3 Computer Vision
- “Welding Defects Detector” - Detection of welding defects with AI (YOLO11x) 2024
[model] [github] - “Liquid Penetrant Test (DP, LPI, PT)” - Detection of liquid penetrant test with AI (YOLO11l) 2024
[model] [github] - “Counter Strike 2 Players Detector” - Players Identification of CS2 (YOLOv9, YOLOv10 & YOLO11) 2024
[model] [github] - “Valorant Players Detector” - Players Identification of Valorant (YOLOv10 & YOLO11) 2024
[model] [github] - “Fortnite Players Detector” - Players Identification of CS2 (YOLO11) 2024
[model] [github] - “OverWatch 2 Players Detector” - Players Identification of OW2 (YOLO11) 2024
[model] [github] - “Deadlock Players Detector” - Players Identification of Deadlock (YOLO11) 2024
[model] [github] - “HuggingFace Profile” - All my models for computer vision
[huggingface]