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Industry Experience

President / Principal Data Scientist | Nemsee LLC | Escondido Ca | Sep 2024 – Current

  • Leads an AI consulting firm specializing in AI policy development, hands-on engineering, and management consulting, providing tailored, responsible, and actionable AI solutions to small and medium-sized businesses.
  • Developed AI-driven product in the Costa Rican real estate sector, designing and deploying AI products to enhance buyer experience with streamlined search processes to create single source of truth and manage multiple listings (like MLS), and broker identification.
  • Developed and implemented end-to-end AI strategies for clients, including model development, deployment, and ethical AI policy creation, ensuring compliance, technical rigor, and tangible real-world impact across diverse industries.
  • Developed a modular Django web application to showcase a collection of Python mini-apps, enabling seamless integration of small-scale tools and scripts.
  • Configured and deployed a PostgreSQL database on Cloud as backend architecture for application stacks.
  • Streamlined deployment processes for Django applications on cloud, leveraging automated scripts and containerization to ensure efficient and consistent delivery.
  • Delivered keynote presentations at data science industry events, sharing expertise on AI, machine learning, and responsible AI practices.
  • Hosted panel discussions with thought leaders in technology and analytics, driving conversations on data ethics, transparency, equity in AI,best business practices, and impact measurement to ensure responsible and measurable outcomes for AI initiatives.
  • Recorded and produced educational content on data science topics, including tutorials, thought leadership pieces, and use-case demonstrations for a global audience.
  • Collaborated with cross-functional teams to produce high-quality multimedia content, showcasing real-world AI applications in industries such as healthcare and marketing.
  • Oversaw the end-to-end development lifecycle, from initial data acquisition to model deployment, while ensuring scalability and security of cloud-based infrastructure in a high-demand, real-time environment.
  • Integrated back end python data engineering and ML integration into Java based applications.
  • Leveraged OpenAI ChatGPT API to streamline unstructured data into a robust dataset for master data management and engineering.

Executive Director, Master of Business Analytics Programs | University of California, San Diego (UCSD) | San Diego CA | Nov 2022 – June 2024

  • Developed comprehensive AI strategy aligned within School of Management to integrate generative AI into data science coursework to and broaden market for student attraction.
  • Integrated AI into the curriculum with industry projects focusing on using generative AI to scale to drive profitability.
  • Collaborated with faculty leadership to design and deliver a compelling video series, introducing one of the first AI-assisted business analytics programs and showcasing its innovative approach to integrating AI into decision-making and education.
  • Responsible for the long-term strategy and success of the Business Analytics Graduate Program Division, including student acquisition, hiring professors, administration, marketing, growth, and student experience.
  • Increased network of industry sponsors for consulting projects to provide real-world problems for students to solve using AI and data science practices.
  • Professor of Business Analytics teaching project management, stakeholder communication, orchestration, collaboration, and organizing consulting projects.
  • Managed over 30 AI consulting projects per quarter across diverse industries including healthcare, life sciences, advertising, sports, and non-profits. Project examples available upon request.

Senior Director of Data Sciences and Market Intelligence | Thermo Fisher Scientific | Carlsbad, CA | Jan 2019 – Dec 2022

  • Spearheaded enterprise-wide data science initiatives that delivered machine learning solutions, software, and market intelligence, driving over $250 million in annual revenue and achieving >55% YoY growth.
  • C-Suite leadership alignment process to partner with businesses on data science initiatives and create business goals. Performed quarterly executive updates on progress and organizational impact.
  • Designed and deployed AWS and Databricks cloud infrastructure, empowering internal teams to generate advanced customer insights, streamline sales cycles, expand market reach, improve inventories, and enhance customer engagement.
  • Directed the development and deployment of machine learning algorithms for customer behavior prediction, enabling personalized user experiences across digital platforms. Delivered Customer Lifetime Modeling process to measure impact with data science initiatives through A/B Testing.
  • Defined and executed a strategic vision for data science capabilities, aligning with commercial objectives and go-to-market strategies to support growth and product innovation.
  • Led peer review and mentoring, ensuring quality and impact across projects and fostering a collaborative data science culture. Modeling examples include DeepAR, Amazon Personalize, Prophet, Cosign Similarity, , scikit-learn, XGBoost, Pytorch, TensorFlow, Random Forest, and many more.
  • Unified AI-driven initiatives company-wide, ensuring strategic alignment and reinforcing the organization's commitment to innovative, data-led growth.
  • Presented quarterly performance reports to executive leadership, illustrating the measurable impact of data science on key business metrics and growth.
  • Orchestrated the development and management of Sales Operations AI products used by 3,000+ internal users, leveraging AWS serverless architecture, SageMaker, Lambda, and API functions to ensure scalability and accessibility across teams.

Manager of Data Science | BD (Becton Dickinson) | San Diego, CA | Feb 2013 – Dec 2018

  • Partnered with R&D, marketing, and business units to identify data-driven opportunities that support strategic objectives, such as improving patient outcomes or reducing healthcare costs.
  • Initiated data science team and to deliver timely, high-quality analytic healthcare products that advise insights and recommended actions to improve healthcare efficiency and effectiveness
  • Established and scaled cloud-based AI products for clinician decision support.
  • Led partnerships and engagements with top-tier consultants (Microsoft, KPMG, etc.) to scale AI capabilities to the cloud and automate ML pipelines.
  • Used SQL and object-oriented languages (e.g., Python, R) to automate process and create data pipelines
  • Developed and maintained data science processes and released new algorithms in sync with broader software development initiatives.
  • Coaching, mentoring, and developing data science staff

Data Scientist / Business Analyst | Ntrepid | San Diego, CA | Dec 2011 – Feb 2013

  • Led dual responsibilities by identifying data science opportunities across the organization and developing predictive models to solve business challenges and inform decision-making.
  • Developed and deployed predictive models, utilizing machine learning techniques to address business challenges in areas such as IT operations, Customer segmentation, and predicting outages and downtime.
  • Provided strategic guidance by combining analytical insights with business acumen to advise leadership on key initiatives and data-driven decision-making.
  • Produced budget plans and implemented financial allocation models.
  • Translated business needs into actionable data solutions, working cross-functionally to integrate analytical insights into strategic initiatives.

Director of Analytics | Tangoe, Inc. (Formerly ProfitLine, Inc.) | San Diego, CA | Apr 2007 - Dec 2011

  • Led a team of telecom audit and mobility analysts to deliver actionable insights, optimizing telecom and mobility expenses across enterprise clients generating over $24M in revenue.
  • Developed and implemented algorithms to identify overspending, fraud, and optimization opportunities, saving clients millions annually through advanced analytics. Recovered over $500 million in erroneous billing for Fortune 500 organizations.
  • Built proprietary software solutions enabling customers to interact seamlessly with analytic services, enhancing user engagement and operational efficiency.
  • Spearheaded customer engagement and strategy initiatives, collaborating with stakeholders to align analytics solutions with business objectives and drive measurable impact.
  • Launched data-driven analytic products that combined early data science techniques with domain expertise, scaling enterprise-level decision-making capabilities.
  • Streamlined operations through data automation and advanced algorithms, reducing manual efforts and increasing team efficiency by 30%.

University Professor Experience

Professor - Business Analytics Capstone | University of California, San Diego, | San Diego, CA | Nov 2022 – Current

  • Teaches several groups of students working on real-world projects in AI for business problems

Adjunct Professor - Intro to Data Science and Ethics | University of San Diego (USD) | San Diego, CA | Nov 2019 - Feb 2023

  • Built curriculum and instructs coursework for master's students in the Data Science Program
  • Taught first course in Data Science Master Program which included machine learning, statistical techniques, case studies, business processes, and AI ethics.

Part-time Instructor - Text Mining | University of California, San Diego (UCSD) Extension | San Diego, CA | Sep 2024 – Current

  • Builds and maintains course content and curriculum. Instructs students enrolled in the Data Mining Certificate Text Mining Course

Education

  • Northwestern University - Master’s of Science in Data Science
  • California State University, San Marcos - Bachelors of Science in Business Administration, High Technology Management

Certifications and Affiliations

  • SCRUM ALLIANCE Certified Scrum Product Owner (CSPO) 2020
  • Data Science Alliance Working Group Member
  • USD Master of Applied Data Sciences Industry Board Member
  • Django Core-Build and Deploy Web Projects with Python and Django
  • Learn Deployment of Django App on DigitalOcean App Platform