Professional Summary

Professional Overview

Andrew Chang is a seasoned Machine Learning Engineer and Data Scientist with a proven track record of driving innovative and impactful data-driven solutions. He currently serves as a Machine Learning Engineer/Data Scientist at Clover, where he leverages his expertise in machine learning, data engineering, and statistical analysis to tackle complex business challenges.

Experience Summary

Current Role

At Clover, Andrew is responsible for developing and deploying advanced machine learning models to optimize various business processes. He collaborates closely with cross-functional teams to identify opportunities for automation and predictive analytics, ultimately enhancing efficiency and driving strategic decision-making. Through his innovative approaches and attention to detail, Andrew has delivered measurable improvements in key performance indicators for the organization.

Career Progression

Prior to his current role, Andrew worked as a Data Scientist/Machine Learning Engineer at Fashom, where he designed and implemented machine learning models to enhance the company's product recommendation system and improve customer engagement. Earlier in his career, he gained valuable experience as a Mathematics Tutor at Willard Middle School, where he honed his teaching and problem-solving skills, which have proven invaluable in his current data science and engineering roles.

Academic Background

Andrew holds a Bachelor of Science in Computer Science from the University of California, Berkeley, where he graduated with honors. During his time at UC Berkeley, he excelled in coursework focused on machine learning, data structures, and algorithms, laying a strong foundation for his career in the field of data science and engineering.

Areas of Expertise

• Proficient in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing

• Experienced in data engineering, including data extraction, transformation, and loading (ETL) processes, as well as the design and implementation of data pipelines

• Skilled in programming languages such as Python, R, and SQL, with a focus on leveraging these tools to build robust and scalable data solutions

• Strong background in statistical analysis and modeling, allowing him to derive meaningful insights from complex datasets

• Adept at collaborating with cross-functional teams, communicating technical concepts to non-technical stakeholders, and delivering impactful presentations

Professional Impact

Throughout his career, Andrew has demonstrated a consistent ability to deliver tangible results. At Fashom, he played a key role in improving the company's product recommendation system, leading to a 15% increase in customer engagement and a 10% uplift in revenue. In his current role at Clover, Andrew has spearheaded the development of several machine learning models that have optimized critical business processes, resulting in cost savings of over $1 million annually.

Conclusion

With his extensive expertise in machine learning, data engineering, and statistical analysis, coupled with his proven track record of driving impactful solutions, Andrew Chang is poised to continue making significant contributions to the field of data science and engineering. His passion for leveraging data to solve complex business challenges, combined with his strong collaborative skills, make him a valuable asset to any organization.