Sara Rijo

Data & Machine Learning Engineer

jobs@sararijo.com


ABOUT

Hi! My name is Sara Rijo and I’m a computer engineer and master in Artificial Intelligence with 4 years of professional experience working with Intelligent Systems, Data Pipelines and Software Development. I have proven ability in building end-to-end applications for both structured and unstructured data analysis that meet specific business needs. Really passionate about technology, data-driven solutions and help companies in turn their data in powerful insights.

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EDUCATION

Master of Science in CS, Artificial Intelligence
University of Évora
2 Years Course, Grade: 19/20

JUNE 2016

Bachelor Degree in Computer Science
Lusófona University
3 Years Course, Grade: 17/20

JUNE 2013

Bachelor Degree in Applied Mathematics
Lisbon University
1,5 Years Course, Grade: 14/20

JUNE 2012
50% Complete




WORK

Founder & AI Engineer
Hyperstage.ai, Worldwide

- Consultant experience in development of AI systems, data pipelines & automatic data analysis for different companies: health, tourism, education, sales & marketing.
- From business needs to ML projects;
- From strategic definition and prototyping to production;

FEBRUARY 2019 - PRESENT

Data & Machine Learning Engineer
Yourdata Analytics, PT

- Responsible for AI & ML Projects;
- Responsible for the architecture and development of the company's core platform;
- End-to-End Software Development;
- Data Integration;
- AI & Machine Learning Functionalities;
- Platform Infrastructure;
- Integration of Cloud Services;
- Control Automation Implementations;

Type of data: Databases & Files (Structured and Unstructured Data)
Tools: Python, Django, Scikit-Learn, NLTK, Nolearn, Tensorflow, AWS, Azure, HTML, CSS, JavaScript, Selenium, SQL, Jupyter, PowerBI

MARCH 2018 - FEBRUARY 2019

Machine Learning Engineer
muse.ai, US

- Creation of scripts for automating the process of extracting datasets;
- Development of end-to-end machine learning applications;
- Development of tools for data visualization;
- Development of deep learning models (DNN, RNN and LSTM);
- Optimization of machine learning models;
- Temporal optimization using GPU;

Type of data: Video (Image an Sound)
Tools: Python, Linux, Tensorflow, Theano, Lasagne, Scikit-Learn, NLTK, nolearn, Numpy, Docker, Jupyter, Nginx, HTML, CSS, JavaScript, D3.js;

JANUARY 2016 - FEBRUARY 2018

Front-end Developer
ISEG – Lisboa School of Economics & Management

Front-End Development of a Web Page on a project of the institution.
Tasks: Programming in HTML and CSS; Content Management; Page Design;

AUGUST 2013 - SEPTEMBER 2013




CERTIFICATIONS

Machine Learning by Andrew Ng
Coursera

MARCH 2016

Web Design Course
Nova University of Lisbon

DECEMBER 2013

Pedagogical Skills Certification Professional
IEFP, License F615366/2013

NOVEMBER 2013



SKILLS

Machine Learning


Deep Learning


Data Engineering


HTML,CSS, Javascript


Python


Data Science




PORTFOLIO

Muse X

Collection of artificial intelligence applications applied to video processing, developed as part of the work carried out at muse.ai.

machine learning, deep learning, video, data visualization

Yourdata Flow - Main Platform

Platform developed to yourdata.ai, that enables data centralization, normalization, intelligent analysis and automation configuration in one single place.

machine learning, data science, software development, databases,data engineering

DATA MINING FOR BREAST CANCER DIAGNOSIS

Breast cancer is the uncontrolled growth of abnormal cells in the breast tissue forming tumors that can be classified as either benign or malignant. This study aimed to test the use of various algorithms of artificial intelligence in cancer diagnosis, using a dataset collected in 700 patientis breast cells analysis.

machine learning, health, data mining , data analysis

MINDSET

Mindset is a context-aware mobile launcher for Android systems, whose mobile desktop works dynamically, adapting the icons according to the geographical location of users. The developed system enables the user to create 'mindsets' (location profiles) where locations of interest are linked to selected apps, to be presented in the launcher when the location requirements are met.

launcher, android, java, Google Maps API

HARDNECT PI

The Hardnect Pi project consists in the development and implementation of a four wheeled robotic agent with three distinct driving modes, the first by joystick, the second in real time gesture motion detection inspired on how we drive a real car, and third driving through gestures (forward, left, right, backward) that unleashes pre defined actions on the robot.

Video Demonstration
artificial neural networks, kinect,c#, machine learning



CONTACT

Email
jobs@sararijo.com or
sara.rijo.sr@gmail.com

SOCIAL LINKS

Created by SARA RIJO