Alejandro Espinoza

Alejandro Espinoza Email and Phone Number

Senior Data Scientist @ Recora
Alejandro Espinoza's Location
Portland, Oregon, United States, United States
Alejandro Espinoza's Contact Details

Alejandro Espinoza personal email

n/a
About Alejandro Espinoza

Hi! 👋 I'm a data scientist who is passionate about building robust & ethical ML/AI systems for social good. I have broad research interests in transparent and explainable AI, healthcare, graph learning, signal processing, and more.I have former industry and research experience in biomedical machine learning, NLP, computer vision, time series analysis, and signal processing techniques such as noise cancellation and filtering.After graduating with a BS in Electrical Engineering from Western Michigan University, I started my career in industrial automation: controls engineering, robotics, and logic programming. In my first engineering job out of college at Georgia Pacific, I received a manufacturing excellence award for successful planning and execution of a large-scale machine safety improvement project. I quickly became passionate about data analysis to reduce machine failures and sought to leverage ML for automatic diagnosis and save hours of troubleshooting. During this time, I taught myself to code in python. Later on, I earned a MS in Electrical Engineering from Portland State University, with a formal focus on signal processing and statistical/machine learning. I have also earned a MS in Biomedical Engineering from OHSU, where I carried out research in the Artificial Intelligence for Medical Systems (AIMS) lab with the aim of improving the lives of those living with type 1 diabetes using ML & AI.

Alejandro Espinoza's Current Company Details
Recora

Recora

View
Senior Data Scientist
Website:
recorahealth.com
Employees:
5
Alejandro Espinoza Work Experience Details
  • Recora
    Senior Data Scientist
    Recora Sep 2024 - Present
  • Legitscript
    Senior Data Scientist
    Legitscript Dec 2022 - Aug 2024
    Portland, Oregon, United States
    R&D for the creation of a new merchant risk analysis and data extraction product.
  • Legitscript
    Manager, Data Science
    Legitscript Jun 2023 - Feb 2024
    Portland, Oregon, United States
    Led a small team focused on data science and analytics. We were focused on continuous monitoring and improvement of ML pipelines. Carried out roadmap planning and product development while collaborating with executive leadership, product management, and engineering.
  • Oregon Health & Science University
    Graduate Researcher, Ai For Medical Systems (Aims) Lab
    Oregon Health & Science University Sep 2021 - Apr 2023
    Portland, Oregon, United States
    I researched methods to help those living with type 1 diabetes by analyzing efficacy of current approaches and designing improvements to AI decision support systems. Co-author on three publications. Some of my responsibilities included:Pre-processing multivariate time series data, training statistical and machine learning models, including deep neural networks and mixed effects models.System identification to obtain parameters for ODE-based physiological models using Hamiltonian MCMC sampling with real-world study participant data.Applying scientific method to determine efficacy of research studies and communicating findings to clinicians.Enablement of fast clinical evaluation of treatment strategies through data visualization and report design using python libraries and study data.
  • Legitscript
    Data Scientist
    Legitscript Dec 2020 - Dec 2022
    Portland, Oregon, United States
    Responsible for leading R&D for merchant risk classification pipelines. We combined NLP & computer vision, and human expertise to automatically understand risky activity on the web.
  • Leanpath
    Machine Learning Engineer
    Leanpath Jun 2019 - Nov 2020
    Prototyped computer vision models to perform image classification, background subtraction, and object detection.Trained and cross-validated machine learning algorithms on datasets using tools such as OpenCV, PyTorch, and Google Cloud Platform. Measured performance using metrics such as F-score, accuracy, precision, recall, and confusion matrix.Applied best practices to preprocess and clean collected data in preparation for feature extraction, classification, and regression.Time series analysis and data mining to drive improvements to product offerings.Collaborated with software engineering team to develop robust, device compatible food waste classification models.Communicated findings to senior leadership and provided recommendations for future research and actions.
  • Portland State University
    Graduate Teaching Assistant
    Portland State University Jan 2018 - Dec 2019
    Guided students through upper and lower division labs and provided brief lectures to help reinforce key concepts from class.Graded lab reports, monitored student attendance, and ensured smooth operation of labs.
  • Siltronic Ag
    Controls Engineer
    Siltronic Ag Jun 2017 - Apr 2019
    Portland, Oregon
    Performed data analysis and feature selection to predict machine failure using algorithms such as SVM and random forests.Multi-axis robot scheduling optimization to increase reliability and throughput by 30%.Continuously analyzed machine failure data, using tools such as Pareto analysis and root cause analysis.Mentored junior engineers and helped improve problem solving skills while teaching practical engineering concepts.
  • Georgia-Pacific Llc
    Electrical Project Engineer
    Georgia-Pacific Llc May 2014 - Jun 2017
    Camas, Washington
    Design, implementation, and management of capital/expense projects involving: commissioning of variable frequency and DC drives, PLC programming, low voltage distribution, instrumentation, and adherence to EN/ISO standards.
  • Consumers Energy
    Co-Op Assistant Engineer
    Consumers Energy May 2013 - May 2014
    Kalamazoo, Michigan
    Performed field inspections and created designs to improve the reliability of essential low voltage distribution circuits. Assisted in damage assessment to determine root cause of faulted circuits during outages.
  • Avb
    Network Administrator
    Avb Feb 2011 - May 2013
    Portage, Michigan
    Managed a network of over 40 workstations and five virtual servers on VMWare architecture. Troubleshot application and hardware issues, communicated changes in IT policies company-wide, and provided technical support both in the office and remotely.

Alejandro Espinoza Skills

Electrical Engineering Engineering Troubleshooting Matlab Instrumentation Project Management Programmable Logic Controller Project Engineering Firewalls Continuous Improvement Workplace Safety Plc Autocad Microsoft Office Variable Frequency Drives Testing Programming Automation Root Cause Analysis Microsoft Excel Leadership Management Julia Control Systems Design Machine Learning Dimensionality Reduction Data Analysis Signal Processing Python

Alejandro Espinoza Education Details

Frequently Asked Questions about Alejandro Espinoza

What company does Alejandro Espinoza work for?

Alejandro Espinoza works for Recora

What is Alejandro Espinoza's role at the current company?

Alejandro Espinoza's current role is Senior Data Scientist.

What is Alejandro Espinoza's email address?

Alejandro Espinoza's email address is ae****@****hsu.edu

What schools did Alejandro Espinoza attend?

Alejandro Espinoza attended Oregon Health & Science University, Portland State University, Western Michigan University.

What skills is Alejandro Espinoza known for?

Alejandro Espinoza has skills like Electrical Engineering, Engineering, Troubleshooting, Matlab, Instrumentation, Project Management, Programmable Logic Controller, Project Engineering, Firewalls, Continuous Improvement, Workplace Safety, Plc.

Who are Alejandro Espinoza's colleagues?

Alejandro Espinoza's colleagues are Simantov Yousoufov, Hannah Schuster, Samantha Schoch, Patrick O'brien, Maria Cecilia Barrera, Eric Hillman, Lindsey Gudeman, Acsm, Ccep.

Not the Alejandro Espinoza you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.