Welcome!

Hi!

My name is Shabih (शबीह/ شبیہ).

I am the Head of AI/Principal Architect – AI & Big Data at Taazaa. I am responsible for pushing the envelope on development of Artificial Intelligence applications internally as well as externally. Stay tuned for more details!

Prior to Taazaa, I was the Vice President of Analytics at Hone Health, where I led the Data, Analytics, and Machine Learning team. In line with Hone’s mission, I used data science and analytics to reduce barriers to proper men’s healthcare and provided care grounded in rigorous scientific evidence. This work used healthcare markers, demographics, and behavioral data to generate insights. Specifically, I was involved in establishing a data platform primarily using Azure tools. This platform was responsible for integrating business intelligence with machine-learning-based systems. We used Power BI backed by Microsoft Fabric to automate reporting and reduced downtime by approximately 99%. The platform also utilized gold-standard data to create predictive analytics for multiple functions, including sales, finance, and customer service (e.g., churn detection, run-rate modeling). As the head of the data division, I was also responsible for operations in Data Engineering, Data Security, and Data Governance.

Before Hone, I was a Vice President at Delos, where I was also the Head of Data Science and Analytics. I worked, with my amazing team, to create new technologies (software and hardware) that enhance the level of occupant well-being in any built environment. I was responsible for primarily 4 aspects of data at Delos viz. Data Engineering, Data Science & Analytics, Data Security, and Data Governance. Before working at the NYC office, I was a scientist at the Well Living Lab in Rochester, MN, researching machine learning algorithms that can actuate environmental changes which positively affect perceived wellness in the built environments.

At Delos I primarily worked on human-centric AI specifically designed to operate with IoT devices that extracted actionable insights that would either be consumed by an individual or a device to optimize how they operated in their space. This involved collaborating with Behavioral Scientists, Environmental Engineers, Marketing, Sales, and of course, Technologists. We pooled our efforts, bringing our expertise and unique perspective, to identify new ways in which our work could have the maximum impact while minimizing the perceived disruption of the natural flow of our end customer’s day.

In addition to my current responsibilities, I try to allocate some of my time regularly to academic service. This means either mentoring undergraduate/graduate students on research projects, serving on TPC, chairing sessions, etc. I firmly believe that academia grows stronger through healthy collaboration with professionals in the industry. I was greatly influenced in my education through these collaborations and would like to give back. If you feel the same way, get in touch!

I graduated with a Ph.D. in Computer Science from the University of Iowa. My dissertation was titled “Mobile ecological momentary assessment for hearing aid evaluation.” I was very fortunate to be advised by Prof. Octav Chipara. Before that, I was an undergrad at the Aligarh Muslim University in India and graduated with a B.Tech (with Honors) in Computer Engineering, where my focus was on developing real-time streaming services on very low bandwidth systems.