Charis K. Email & Phone Number

Berkeley, Ca, Us

San Francisco, Ca, Us

Leading the strategic development for decision intelligence through enterprise data and analysis. Driving strategy execution and transformational journey of infusing scientific methodologies & technologies across enterprise functions.

San Francisco, Ca, Us

We create machine learning-based products that help drive business decision-making across sales, marketing, customer engagement and digital experience while providing actionable analytics to senior management. Lead the development of a modern machine learning platform that adhere to compliance and principles of ethical machine learning.

Strategic advisor providing deep tech expertise to European-based startups and corporates on AI Transformation.

San Francisco, Ca, Us

Development of strategic mid-range research direction on development of applications of AI in construction data value enhancements and construction project risk management and controls. Focus on UX/AI interfacing for higher data quality capture and utilization.Spearheaded Autodesk's BIM360 ConstructionIQ product line through strategic research and development.Hired and managed the high performance data science team that delivers on actionable AI/ML/Advanced Analytics in construction risk management.Work closely with major customer partners, internal teams and cross-functional teams to unlock innovation in construction machine intelligence. Innovator through the development of novel approaches to construction risk management and filling multiple patents.Frequent speaker at both Autodesk technical and corporate events and presenter in AI-related conferences.

Washington, District Of Columbia, Us

Responsible for expanding and managing the data science team at the Advisory Board working on Real-Time analytics both in Clinical and Population Analytics. Interfaced with engineering teams to put models in production (translated into PMML). Utilization of NLP-based methods to extract risk factors from electronic medical records. Prediction models:* Medical Adherence (for Cancer patients)* Hospital Readmission* Emergency Room Visits* High-utilization (in context of ACOs)* Mortality (clinical)* Sepsis (clinical)* High Cost (context of ACOs)Published associated SBIR reports with the NIH; AMIA Translational Science; and AFHE.NIH: [https://projectreporter.nih.gov/project_info_details.cfm?aid=8249014&icde=0]Emergency Department Visit Risk Modeling Based on Claims Data and Clinical NotesM. Li, C. Kaskiris, R. Jakka, Y. Liu, The Advisory Board Company (AIMA 2015)Comparing 90-Day and 180-Day Hospitalization Risk ModelsAnuj Misra ; Andrew Heekin ; Charis Kaskiris ; Jakka Sairamesh (AIMA 2015)Early detection methods based on unstructured medical records for improvingpatient adherence, care services and reducing unplanned acute care costsJ. Sairamesh, C. Kaskiris and M. Li, USA (HSSE 2015)Early warning methods to reduce 30-day readmissions rates and target the righthealthcare interventions at the right timeJ. Sairamesh and C. Kaskiris, USA (HSSE 2014)Risk prediction methods based on electronic medical records and social surveysfor improving patient outcomes and enabling targeted care servicesC. Kaskins, J. Sairamesh, R. Rajagopal, R. Nemana, K. Argenbrightand P. Anderson, USA (HSSE 2014)

San Francisco, Ca, Us

Responsible for all data management, data analytics, financials, marketing, and gaming analytics. Advertising analytics for both publisher and advertiser sides. Analytically developed the leveling progression system for the flagship WGT Golf game. Developed data-driven LTV models, FTE models, managed A/B experiments, propagated data-centric mindset throughout the organization. Coordinated closely with the management team over marketing spend activity., fraud analysis, future feature design and analysis.

San Francisco, Ca, 94103, Us

Computational Advertising on large-scale ad exchange; Click Through Rate estimator development.

Bozeman, Montana, Us

SEM, CLM (credit line management), Medical Debt Recovery projects; development of modeling behind medical debt recovery scores behind Connance.

Gb

Part of the Center for Advanced Computer science team focusing on application of machine learning approaches to fraud detection in financial statements.

Oakland, California, Us

Research in combinatoric auction design for bandwidth trading utilizing experimental economics. Collaborated with NetExchange (originally) and Fujitsu Technologies (subsequently) on bandwidth trading mechanisms.

Moffett Field, California, Us

Worked on the Mobile Agents project; a multi-agent framework and modeling environment to support human-robotic collaboration for missions operations.

San Francisco, California, Us

Early stage technology startup enabling the on-boarding of SME into supply networks of Fortune 500 companies.

Armonk, New York, Ny, Us

Combinatorial auction design for e-commerce market places.

Abd (Incomplete) Phd, Information Science With Designated Emphasis In Communication Computation And Statistics

Master Of Arts - Ma (Incomplete), Statistics

Msc, Information Science

Mpp, International Policy & Quantitative Policy Analysis

Bachelor’S Degree, Economics