Senior Director in the Clinical Data Science and Evidence (CDSE) department within Clinical, Medical and Regulatory (CMR) at Novo Nordisk Inc. (NNI), the US subsidiary of Novo Nordisk A/S.

Led a high performing team delivering fast turnaround, Real-World Data analytics to extract bespoke insights from complex healthcare data like Medical Claims, EMR/EHR, Lab, Pharmacy and Hospital data, diversity & SDoH factors, census, others, across multiple Therapy Areas (Cardiometabolic, Oncology, Immunology, Neuroscience, NAFLD/NASH, among others)In previous roles with Merck/MSD I also led (early pipeline) commercial and marketing analytics which involved engaging with business leaders to understand challenges and identify opportunities to create Data Science approaches for priority business questions, whose solutions often started from leveraging multiple healthcare data sources such as medical claims, electronic medical records, unstructured data, patient-level data to provide an understanding of treatment journeys, drug switch patterns, patient and healthcare provider insights, addressable patient population, among others.I have also supported at limited capacity Global Market Access, Pricing, Global Tenders, and Medical Affairs for US and Global Oncology, bringing a data-driven approach to applicable areas.Experience handling relevant healthcare datasets such as insurance claims (Optum, Truven, IQVIA LAAD), market data, formulary data, EHR (IQVIA Ambulatory EMR, FlatIron, others), Komodo Health, as well as experience with a myriad of software and visualization tools, cloud environments, and data science landscape.

Led a team of analytical professionals responsible for data science capabilities at Edge by Ascential, a global intelligence and advisory business focused on eCommerce and retail forecasting. Since then, the company has re-structured itself by spinning-off several businesses.Awarded the “Ascential Excellence Award, Technology and Digital Innovation Improvement Team Award” for delivering analytics capabilities and developing teams.

I was a core member of a 4-people start-up incubated inside Princeton University. I was simultaneously a departmental guest at Princeton for the entirety of 2017. I helped transform an academic, large-scale software engine running on premise hardware, into a commercial product deployed on the cloud (AWS), which formed the basis for the start-up to bootstrap itself, reaching currently 60+ people with Series B multi-million-dollar funding.Contributed hands-on developing solutions in Python, C, and Java, deployed cloud-based solutions using various AWS services.

Department Guest at the Operations Research department at Princeton University, concentrating on Machine Learning topics (theoretical and practical).

-Head of Revenue Growth Management, developing analytical capabilities for revenue optimization (pricing analytics, promotion effectiveness, trade spend optimization) (I was the second-line manager of a 17-people team)

-Head of eCommerce and digital analytics capabilities, leading a team of 6 people

-Special Projects leader, in-charge of strategic projects such as revamping business analytics frameworks across departments as well as reformulating data strategies. First line manager of a small team.

-Individual contributor and team leader on engagements with different industries

-Coded thousands of lines of code in C/C++, implementing the pointer analysis engine for an industrial-scale bug-finding tool (BEAM)-US Patent awarded, production code used daily by hundreds of software developers at IBM Corporation

-Teaching duties on Embedded Electronic Systems and Programming, responsible for a class of 40 students-Received the "Extraordinary Teaching Assistant Award" from Columbia University for this work

-Worked on software engineering, focused on software quality and productivity for two consecutive internships.-Developed extensive coding in C/C++, in a functional programming language called Stratego, and in a proprietary Bell Labs programming language called YATL