Justin Heer

Justin Heer has a diverse work experience, starting as a Senior Franchise Owner at Student Works Painting from October 2015 to September 2018. During this time, they gained extensive experience in marketing, sales, recruiting, managing, and accounting, generating over $200,000 worth of revenue.

Justin then worked as a Data Analyst at Traction on Demand from May 2019 to December 2019. In this role, they performed data mining and processing using various Python libraries like Tensorflow, Scikit-Learn, and Pandas. Justin also created regression and classification models and provided end-user training.

Justin continued their career at Traction on Demand as a Software Developer from April 2021 to April 2022. Justin mainly worked with Apex, Javascript, LWC, Aura, and Python. Their responsibilities included creating Salesforce configurations and automations to improve business processes and handle client requests. Justin also built frameworks in Apex and Python to enhance API usage.

From April 2022 to January 2023, Justin worked at Uncommon Purpose as a Software Engineer. Justin was responsible for architecting, developing, and administering the Salesforce org at the company. Justin built various solutions across Sales and Marketing cloud and implemented custom solutions for specific business needs. Justin also worked on integrating Salesforce with platforms like Slack and Pardot.

Currently, Justin is employed at VendorPM as a Salesforce Developer starting in January 2023, with no specified end date.

Justin Heer completed their Bachelor of Science degree in Applied Mathematics at Simon Fraser University from 2015 to 2021.

In addition to their degree, they obtained several certifications, including:

- Salesforce Certified Administrator (SCA) from Salesforce in November 2022.

- Certified ScrumMaster (CSM) from Scrum Alliance in January 2022.

- Salesforce Certified Platform Developer I from Salesforce in September 2021.

- Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, and Structuring Machine Learning Projects from deeplearning.ai in May and April 2020.

- Machine Learning from Stanford University in April 2020.

- SQL for Data Analytics from Udemy (exact month and year of completion unknown).