Abhik Bhattacharya, Phd Email & Phone Number

Madison, Wisconsin, US

South San Francisco, California, US

• Risk model development using Real World Data (Optum RWD) by application of advanced statistical and machine learning modeling techniques.
• Developed performance metric dashboard for machine learning predictive models using Optum RWD.
• Frequently used missing data techniques like multiple imputation (MI) for model building and inferences.
• LLM model to predict and enhance cancer screening adherence and meta-analysis on the effect of interventions.

Palo Alto, California, US

• Design and develop statistical methodologies and provide NGS data analysis support for analytical validation studies for precision, reproducibility and limit of detection.
• Provide NGS data analysis insights for technology development and verification.
• Author and contribute to technical documents related to Statistical Analysis Plan, Statistical Analysis Report, Analytical Protocols and Reports, Validation Protocol and Reports, and Clinical Study Reports.
• Validate statistical programs in the form of peer review or independent programming.
• Collaborate with regulatory team for protocol submission and reviews with FDA.

Madison, Wisconsin, US

• Lead internal resource for clinical, non-clinical statistical needs and data manager functions for multiple clinical studies, algorithm setting for future diagnostic products based on DNA marker profiles, developing.
• Created machine learning algorithms and models for pipeline product development and presented models to R&D leaderships for implementations

Madison, Wisconsin, US

• Developed methodology for patient matching, provider attribution, claims versioning and reconciliation and proper de-identification of patient records for Wisconsin Health Information Organization (WHIO).
• Supervised programming implementation of the methodologies in data warehouse and creation of data mart for reporting and data extraction purposes.
• Designed and developed predictive models for prospective attribution to achieve desired quality outcomes and cost containment.

Madison, WI, US

• Lead the data analytics team consisting of internal and external resources to acquire, curate, transform, and load diverse EHR/EMR data and administrative claims data related to individual projects.
• Deliver actionable analytics solutions to customers consisting of health systems and provider groups by ensuring effective quality measures.
• Provide educational and professional development feedbacks to team members
• Responsible for operational, financial, programmatic and personnel activities of the data management team to align with company’s strategic goals and growth objectives.
• Play an advisory role for advanced product development and delivery to gain customer trust.

• Built and led a team responsible for realizing the value of RWI&A through Analytics Service Center.
• Led and participated in establishing strategic vision for the COE Big Data shop for a seamless integration of infrastructure and analytical environment.
• Applied Deep Learning techniques for better diagnosis and segmentation of patients.
• Demonstrated high level of engagement to identify issues in advance and proactively worked toward mitigation of risks and speedy resolution.
• Trained and mentored junior team members about latest techniques and tools of statistical model building and machine learning capabilities.

Chicago, IL, US

• Transitioned strategic priorities for value based solutions into measurement infrastructure.
• Supported Blue System initiatives including Blue Distinction programs and other value based measurement movements.
• Provided leadership to projects that position BCBSA as a strategic business partner with individual Blue Plans and measurement organizations.
• Led and advised analytical efforts to develop risk-adjusted predictive models aiming toward achieving CMS goal of better health, better care and lower cost.

Houston, Texas, US

• Performed as a visionary leader to drive high-profile analytics projects that deliver innovative solutions to challenging healthcare problems.
• Supervised technical team to develop query methods and analytical steps for Fraud, Waste and Abuse analytics.
• Led the data reporting and analytical activities to support the State of Wisconsin’s efforts to transform the Medicaid services delivery and reimbursement structure.
• Trained and Mentored Business Analysts to develop advanced analytics methodologies applied to healthcare claims data, and other integrated data sources.
• Developed predictive and machine learning models to define innovative classification and stratification techniques optimizing healthcare outcomes for products and services.
• Managed projects for delivery of yearly HEDIS measures (as specified by National Committee for Quality Assurance, NCQA) for each HMO working for WI Medicaid.

Chicago, Illinois, US

• Designed the study to determine cost index for hospitals.
• Developed predictive models for Blue Distinction program.
• Assessed population based risks of cardiac patients using Verisk software.
• Initiated and implemented Data Mining activities of Big Data.
• Performed query and analyze TB size data by SAS and SQL.
• Developed predictive modeling to help find better quality health care at a lower cost.

Madison, WI, US

• Developed business model analysis for cost-of-error: performed a computer intensive analysis to estimate approximate cost of inpatient care errors in a large hospital by applying matched case-control study.
• Partnered with Wisconsin Hospital Association (WHA) to implement cost-of-care model to all Wisconsin hospital administrative data.
• Applied six-sigma principles to measure, improve and control core measures at UW Health
• Analyzed culture of safety survey data and provided management the necessary feedback to enhance patient safety environment.

Madison, WI, US

Phd, Industrial Engineering

Ms, Statistics

M.Stat., (Statistical Quality Control & Operations Research)