Aatif Butt

Background

About Aatif Butt

Hi! I’m Aatif Imtiaz Butt, a Data Scientist with a strong focus on reliability analytics, statistical method development, and automation in scientific and engineering environments. At Redlen Technologies, I design and implement data-driven solutions that support semiconductor sensor reliability through methodologies such as Accelerated Life Testing (ALT), Highly Accelerated Life Testing (HALT), Gantry Data Analysis, and Factory Acceptance Testing (FAT)—a suite of statistical cuts used to quantify sensor quality. My work involves developing statistical frameworks for FIT (Failure In Time) estimation and Total Expected Life prediction, automating complex data workflows in Python, and extracting insights from high-throughput sensor data. I collaborate across teams to enhance predictive capabilities, streamline reliability assessments, and contribute to scalable infrastructure for data science operations. With a Ph.D. in experimental high-energy physics from the University of Alberta and research experience at CERN, I bring a deep foundation in big data processing, hypothesis testing, and scientific rigor. Over the past few years, I’ve grown into a technical leadership role—mentoring peers, guiding collaborative initiatives, and helping shape data science practices aligned with strategic goals. As I continue to evolve professionally, I’m excited about opportunities to lead data science teams, drive innovation in reliability-focused domains, and contribute to impactful work at the intersection of science, engineering, and data. Let’s connect if you’re interested in data science, reliability engineering, experimental physics—or exploring how data can accelerate progress in high-impact industries.