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Albert Chang
Analytics Leader
Professional Background
Albert Chang is a seasoned professional with extensive expertise in team building and management, project management, data science, and product management. With a proven track record in high-tech industries and biological sciences, Albert has successfully hired and managed diverse teams of Marketing Analysts, Data Scientists, BI Data Architects, and BI Developers. His aptitude for managing off-shore resources showcases his commitment to optimizing team structures for better performance and project outcomes.
In the realm of project management, Albert has demonstrated a strong ability to oversee business intelligence infrastructures, systems integration, and process automation projects. He is dedicated to sharing best practices on project lifecycle methodologies with the Business Intelligence community, ensuring that projects not only meet timelines but also reflect high standards of excellence.
Albert's deep understanding of data science and statistical data analysis is highlighted by his hands-on experience in building logistic response models for various direct marketing campaigns. His analytical work encompasses conducting segmentation analyses, inference tests, and Chi-square tests to gauge the effectiveness of marketing programs. His guidance on experimental design and sample size calculations further emphasizes his strong analytical skillset. With over 13 years of experience in SAS programming, Albert is proficient in SAS/UNIX environments, including SAS/STAT, SAS/MACRO, SAS/SQL, as well as popular data visualization tools such as SQL and PowerBI.
Albert's expertise in product management enables him to work harmoniously with both technical and non-technical teams, effectively translating real-world business needs into scalable and repeatable technical requirements. His leadership experience encompasses managing BI teams through agile and waterfall development methodologies, ensuring that projects remain on track and aligned with business goals.
Education and Achievements
Albert Chang's academic foundation is robust, with a Doctor of Philosophy (PhD) in Electrical and Electronics Engineering from Stanford University, which underscores his commitment to advancing his knowledge in this complex field. His educational journey continued with a Master of Engineering (MEng) in the same discipline at Stanford, as well as a Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering from the University of Michigan College of Engineering. This solid educational background, paired with his extensive professional experience, contributes to his strong analytical capabilities and innovative approach to problem-solving.
Notable Career Milestones
Throughout his career, Albert has held significant positions that reflect his proficiency in various domains. Notably, he served as a Research Scientist at NVIDIA, where he focused on developing advanced algorithms and analytics to enhance product offerings. His previous role as an Independent/Consulting ML & Deep Learning Scientist at Lawrence McAfee involved providing expert analysis and solutions that delivered tangible results for clients.
Additionally, Albert spent several fruitful years as a Graduate Research Assistant at Stanford University. In this capacity, he contributed to cutting-edge research projects, further reinforcing his expertise and knowledge in engineering and data science. Albert worked diligently on multiple projects that bolstered his understanding of machine learning and deep learning principles, preparing him for the multifaceted challenges he would face in the professional world.
Achievements
Albert Chang's commitment to excellence is demonstrated through his impactful contributions to the field of data science and business intelligence. His proficiency in building logistic response models and performing statistical analyses has aided numerous organizations in fine-tuning their marketing strategies. His work in designing experiments and advising on sample size calculations has empowered teams to make informed decisions based on solid data.
With over 13 years of experience in highly regarded programming environments, Albert has built a reputation as a reliable resource for organizations seeking data-driven insights. His experience working with both technical and non-technical stakeholders highlights his versatility and enhances his capacity to deliver effective solutions that meet complex business requirements. Furthermore, Albert's leadership in managing BI teams with familiarity in both agile and waterfall methodologies showcases his adaptability to different project environments.
In summary, Albert Chang's impressive background, educational achievements, and professional experience collectively position him as a dynamic leader within the fields of team building, project management, data science, and product management. His dedication to nurturing talent and promoting effective project execution further exemplifies his commitment to advancing the disciplines of business intelligence and data analytics.
