![EZ](https://d2abrqas732254.cloudfront.net/images/specialists/896e3972d89bbc62cfce2c236b0f1b2d0daebb9e.jpg)
English:
Proficient
Edgar Z.
Vetted by YouTeam
Mexico
UTC -06:00
America/Mexico_City
English:
Proficient
Data Scientist experienced in designing, training, and deploying diverse machine learning models.
Data Scientist experienced in designing, training, and deploying diverse models for tasks including image classification, object detection, keypoint detection, text classification, and regressions. Proficient in Python and frameworks like TensorFlow, Keras, Scikit-Learn, Pandas, and Numpy. Skilled in crafting computer vision algorithms with OpenCV. Expertise extends to integrating deep learning models into mobile apps via TensorFlow Lite for seamless on-device inference, and deploying them in web apps using Google Cloud microservices like Vertex AI and GCloud functions. My versatile skill set enables the creation of powerful, user-centric applications that harness the potential of cutting-edge data science and machine learning technologies.
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Check if Edgar is availableExpertise
Years of commercial development experience
6 years of experience
Core technologies
Other technologies
Project Highlights
Augmented Reality App for the Beauty Industry
Jan `21 - Present
4 years
Jonajo
Augmented Reality App for the Beauty Industry
Responsibilities & achievements
*Drove the exploration of various neural network architectures for object and key-point detection using Python, TensorFlow, Keras, and the TF-Object Detection API. *Demonstrated advanced skills in data preprocessing and labeling. *Pioneered the implementation of an OpenCV algorithm to enhance hand image processing, further enhancing the app's functionality. *Orchestrated the successful deployment of sophisticated deep learning models on both iOS and Android platforms for seamless on-device inference. *Utilized Python to craft APIs, optimizing model deployment via Google Cloud micro-services and ensuring robust performance. *Marked a dynamic blend of research, coding, and cross-platform development, leading to impactful outcomes and enriched user experiences. *Responsible for spearheading the exploration, development, and seamless deployment of sophisticated deep learning and computer vision algorithms. *Leveraged expertise in deep learning techniques, and successfully enhanced object detection, recognition, and tracking functionalities, resulting in immersive and engaging interactions for users. *Worked on end-to-end creation of mobile applications for both Android and iOS platforms. *Demonstrated a profound understanding of deep learning, computer vision, Python programming, and mobile app development.
Multiclass Document Classification Proof of Concept
Jan `21 - Present
4 years
Jonajo
Multiclass Document Classification Proof of Concept
Responsibilities & achievements
*Conducted comprehensive research into state-of-the-art NLP techniques, employing them to create impactful vector embeddings and deploy effective ML algorithms for multiclass document classification. *Formulated and presented a compelling proof of concept proposal, showcasing a novel approach to custom document-type classification, contributing to client satisfaction.
Object Detection API for Personal IDs
Jan `20 - Jan `21
1 year
Legalario
Object Detection API for Personal IDs
Responsibilities & achievements
*Led a pivotal project for Legalario, involving the creation of an object detection API to accurately identify personal IDs from images. *Executed manual image labeling for personal IDs and skillfully trained an SSD neural network utilizing Python and the TF-Object Detection API. *Designed and developed a robust API using Python and Flask, capable of efficiently identifying, classifying, and processing valid IDs through advanced techniques in OpenCV. *Achieved seamless integration of the API into Legalario's systems, contributing to improved accuracy and efficiency in personal ID verification processes.
Facial Age Estimation Without Facial Landmarks
Jan `20 - Jan `21
1 year
UASLP
Facial Age Estimation Without Facial Landmarks
Responsibilities & achievements
*Spearheaded an innovative project aimed at predicting real age from single images, even without facial landmarks, showcasing a profound understanding of deep learning principles. *Employed Python and TensorFlow to develop a specialized variant of the Deep EXpectation (DEX) method tailored for mobile devices, demonstrating adaptability and efficiency. *Masterfully curated and augmented a diverse dataset of facial images, meticulously preparing it for training a lightweight yet highly accurate deep neural network. *Orchestrated the successful deployment of the model in an Android app, enabling users to capture and edit selfies for instant age prediction, showcasing advanced mobile app development skills.
Dog Breeds Classification App
Jan `19 - Jan `20
1 year
UASLP
Dog Breeds Classification App
Responsibilities & achievements
*Undertook a comprehensive initiative to classify dog breeds, culminating in the development of an Android and iOS app for dog breed identification. *Curated an extensive dataset comprising images of 139 distinct dog breeds, meticulously preparing it for training a deep neural network. *Exhibited exceptional data preprocessing and augmentation techniques, resulting in a model achieving an impressive accuracy rate surpassing 83%. *Crafted a user-friendly mobile application that enables users to effortlessly identify dog breeds by capturing new images or utilizing photos from their gallery.
Facial Attractiveness Deep Learning Predictor
Jan `19 - Jan `20
1 year
UASLP
Facial Attractiveness Deep Learning Predictor
Responsibilities & achievements
*Undertook a sophisticated data analysis endeavor, processing a labeled dataset of facial images to redefine beauty scores and classify them into distinct attractiveness classes. *Leveraged Keras and harnessed the power of the DenseNet121 architecture to construct a cutting-edge CNN model for estimating facial attractiveness. *Innovatively combined disparate datasets, encompassing human faces and random images, to train a model with the ability to discern facial images. *Demonstrated prowess in model optimization, converting models into efficient TFLite models and further refining their sizes using post-training float16 quantization. *Successfully deployed the models on an Android app, equipped with GPU delegates, empowering users to gauge the attractiveness of facial images with remarkable accuracy.
Education
Higher education in Computer Science
Agency
10-50
GMT-8
Palo Alto / USA, Monterrey/Mexico, Indonesia
Core Expertise
Industries
Logistics & Transportation, E-Commerce & Retail, Entertainment & Games, Construction & Real estate, Sports & Fitness, Social Media & Communication, Travel & Tourism, Booking & Rent, Beauty & Personal Care
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