Amarpal Singh

Amarpal Singh is a detail-oriented, proactive, and decisive executive with a rich background spanning over 20 years in start-ups, corporates, and private equity firms across various industries.

He advocates for a data-driven systems engineering approach to transform challenges into opportunities and excels in areas such as product development/management, engineering vision, business development, customer engagement/retention, and fostering people and cultural growth within organizations.

His expertise lies in building and launching data products and technologies in diverse digital domains like e-commerce, media tech, subscription services, and more, showcasing a blend of business acumen, analytical skills, and hands-on technical knowledge.

With a strong educational foundation encompassing an Integrated M. Tech. in Electrical Engineering from the Indian Institute of Technology, Bombay, and a Data Science certification from the Massachusetts Institute of Technology, Amarpal Singh is well-equipped for the dynamic tech landscape.

Throughout his career, he has held key positions such as VP of Data Science & Data Engineering at Tillster, Inc., Senior Director of Data Science and Engineering at Whalerock Industries, and various architect and engineering roles at notable companies like Scopely, uSamp, and Move Inc.

Amarpal Singh's experience spans roles in technology fields including data science, data warehousing, analytics, product management, software development, and digital marketing, showcasing his versatility and proficiency across multiple domains.

He is an advocate for data-driven decision-making, optimization, and experimentation, focusing on hypotheses building, controlled experiments, AB testing, and multivariate testing to enhance customer acquisition, engagement, conversion, and retention.

Beyond his technical skills, he demonstrates strong leadership and management capabilities, adept at hiring, mentoring, and motivating high-performance teams, leading cross-functional initiatives, and driving process improvements within organizations.

His strong engineering and mathematical background shines through in his ability to construct robust data pipelines and perform advanced business data analysis, underpinning his effectiveness in driving organizational growth and success.