My name is Jonathan Lacanlale and I studied computer science with a minor in mathematics at Cal State University, Northridge. I’m born, raised, and am based in Los Angeles, CA.
I enjoy working on projects centered on data-driven decisions and discovering practical insights. I’m currently interested in applying my professional skillset to mission-driven organizations that aim for a positive impact.
--My Skills
Throughout my career, I’ve been fortunate to improve my skills, especially in my recent position as a Data QA Analyst. Over time, I’ve been able to convey relevant insights and analyses to stakeholders, allowing them to make data-driven decisions and provide quantitative insights into our product. Additionally, I've worked as an academic researcher during my time in undergrad, studying computer science and assisting faculty conduct research in applying machine learning and artificial intelligence to solve domain-specific problems. These experiences continue to lead me to pursue my passion in data-centric work and further support my growth as a data scientist.
Leading data stewardship activities, including monitoring of source system data integrity, analytic model performance, and driving data quality across the product vertical
Utilizing machine learning and artificial intelligence to interact with big data and data analytics to support projects for the Data Analytics Lab
Integrating object detection algorithms to support biomedical research
Researching alternative user interfaces to improve user accessibility
Published research project that focuses on utilizing machine learning models to enable ML feature type inference. The work I was fortunate to contribute to the lab heavily focused on gathering and cleaning data from multiple, disparate datasets, and processing these datasets to be used in training machine learning models. Many thanks to UCSD, the STARS research program, and Dr. Arun Kumar and his Data Analytics Lab for the opporutnity to do such work.
This was my first first-authored research project (as-in I was the lead in conducting experiments, writing the code, and writing the paper from draft-to- publication). The work outlined in this paper utilizes object detection methods taken from the field of computer vision. We use detection models to help quantify objects-of-interest (here, we count mosquitos) in an effort to support biomedical research.
This was a fun personal project to explore the athlete data collected by OpenPL. As a brief primer, OpenPL collects data from powerlifting meets, allowing for tracked and up-to-date data on powerlifters and the evergrowing niche community of powerlifting. As a powerlifter myself, I was curious as to how other people start out in the sport and what those numbers have looked like over the past few years.
I'm a huge fan of powerlifting, and just strength-training in general. I've competed in powerlifting for over 2 years now, and hope to continue for the many years to come!
I love travelling! While I've probably taken more trips in the domestic US, I hope to do more internatinal travel across the globe.