I am part of the leadership team at Wolters Kluwer’s Advanced Technology (AT) group, within the Digital eXperience Group (*/dxg), where I lead the development of cutting-edge AI and Machine Learning solutions for the Corporate Performance & ESG division. Our focus is on creating scalable, production-ready AI capabilities and advanced Proofs of Concept (POCs) that help global businesses leverage data to drive sustainability, compliance, and performance improvements.In this role, I collaborate closely with product owners, engineers, data scientists, and business leaders to align AI strategies with corporate goals, delivering solutions that enhance operational efficiency and decision-making. My passion lies in solving real-world problems with emerging technologies such as Generative AI, Natural Language Processing, and Deep Learning, particularly in cloud environments.As we continue to transform industries like healthcare, legal, tax, and ESG through innovation, my mission is to lead teams that bring impactful AI-driven solutions to production, fostering growth and progress in an ever-evolving landscape.

Joined the advisory board for Merrimack’s Data Science program in 2021 and transitioned to a faculty position in January 2024. Currently teaches two courses each semester to approximately 25 graduate students in the Master of Data Science program.

At C Space, I founded the data science group and built a team of three data scientists, driving AI/ML projects and spearheading innovations. I led the vision for data-driven insights and product development, managing about 25 projects annually from pre-sale to client engagement.I successfully migrated our data science capabilities to the cloud, integrating home-grown analytical SaaS applications into new IT platforms. I set the data and AI strategy, defined technical directions, and created product roadmaps aligned with company goals. My hands-on approach included coding, debugging, and publishing solutions.I collaborated with product and engineering teams, advising on AI/ML initiatives and partnering with business executives and the C-suite. I introduced enhanced visualization tools using Tableau and adopted MATLAB’s SaaS applications, reducing costs, increasing margins, and improving client retention.I led analytics on projects like customer segmentation, driver analyses, CRM comparisons, pricing studies, COVID-19 medical product demand forecasting, and historical data benchmarking, generating $2.5MM in annual revenue.Innovation was key to my role. I partnered with vendors like Canvs to enhance their LLM chatbot and Quantilope to introduce k-medoids in their offerings. These collaborations advanced our data science applications.Throughout my career, I developed novel techniques that led to peer-reviewed publications and shared my expertise at industry events. During the COVID-19 hiring freeze, I continued to code using MATLAB, R, SQL, Python, and Tableau, ensuring project continuity.

I have the honor of managing a talented team of 7 professionals. I am responsible for guiding the team on a variety of analytical projects, ranging from risk appetite and concentration frameworks to operational loss data and macroeconomic scenario generation.I oversee the analytics and executive reporting for a number of important initiatives, including risk appetite and operational losses. My team delivers monthly reports and quarterly reports, utilizing data from business units to provide valuable insights and recommendations to the C Suite.One of my proudest achievements is creating macroeconomic scenarios for stress testing, budget planning, and strategic planning. I have the opportunity to present these findings to the CEO and regulators on a biannual basis.• Revitalized risk analytics reporting by optimizing reporting processes, and divesting underperforming activities.• Migrated the annual operational loss data to a new data warehouse.

I have the privilege of leading a team of nine full-time statistician and fostering a collaborative and continuously improving culture. My leadership skills were put to the test when I assumed leadership of three additional teams, totaling 25 full-time employees, during a management transition.One of my key accomplishments was piloting the development of over 100 predictive models. This required a strong focus on enhancing statistical rigor in time series analysis and thought leadership in the development process. I am proud of the results we achieved and the impact our models have had on our organization.• Reported three levels below the CEO, presenting and defending prediction accuracy and reliability to key stakeholders, including business executives, Regulators, C-Suite, Audit, and the Board.• Strategically allocated resources (9 FTEs) to achieve short and long-term goals, continuously churning out 15+ models each quarter while optimizing the model development process to be more business-friendly.• Transformed an underperforming team into a high-performing one, earning recognition from CFO and Board of Directors within one year.

I was empowered by the CFO to develop and implement processes and standards to address regulatory gaps in analytical and business forecasting processes. My role was unique in that I reported two levels below the CFO, giving me a direct line of communication with senior leadership.I headed a team focused on devising inventive solutions to address these regulatory gaps. This involved creating process trees, inventories, transparent assumptions, and risk assessments. Our team's work has had a significant impact on the organization, helping us to achieve compliance with regulations while also improving the accuracy and reliability of our models and forecasts.• Promoted to Senior Vice President and relocated to Finance department to address critical gaps in citizens' capital forecasting process.• Generated $2.5MM in savings by eliminating the need for external consultants.• Built a team of three business analysts from scratch by providing comprehensive training and mentoring.• Earned recognition from executive management, Board of Directors, and all three regulators (OCC, FRB, FDIC) for successful gap mitigation efforts.

I was responsible for directing end-to-end model validations from start to finish. This involved initial scoping, roadmap design, bespoke analysis and testing, quantitative testing, interviews, and presenting final reports to senior management and line of business executives.I managed the entire validation process, ensuring that all activities were in compliance with current regulations. This required a deep understanding of the regulatory landscape and the ability to navigate complex technical and compliance requirements.• Conducted over 30 end-to-end model validations, culminating in presentations to senior management and line of business executives while ensuring regulatory compliance.• Earned the Continuous Improvement and Innovation Award from Royal Bank of Scotland.

Joined Citizens as the first member of its new validation team and was given a large white space to help build the function. Validated mathematical and statistical models on their validity, conceptual soundness, theory, data, output, etc. Built original policies and procedures, templates and standards, and many quantitative tests to be used across the validation group for the new hires.

Lead modeling and research of the VaR calculations as well as numerous internal consultancy projects

Continuation and expansion of the PhD research to simulate blood flow in the context of Tumor Biology. Appointed Harvard Fellow.