Senior Data Analytics Leader with 20+ Years Experience

Vinit Parekh

Walnut Creek, CA 925-***-**** ************@*******.*** www.linkedin.com/in/vinit-parekh

Data Analytics and Reporting Consultant

A results-driven data analytics leader with extensive demonstrated experience in healthcare and finance, specializing in biostatistics, data reporting, and strategic analysis. Expertise in statistical modeling, data visualization (Tableau, Power BI and Excel), with a proven track record of translating complex data into actionable insights. Adept at collaborating with cross-functional teams, influencing stakeholders, and driving data-informed decisions to improve business outcomes. Strong analytical and problem-solving skills. Expertise in developing and implementing reporting solutions. Excellent communication and stakeholder management skills.

Areas of Expertise

Data Analytics and Reporting Data Gathering and Preparation Analytic and Statistic Modeling Data Interpretation and Storytelling Business and Reporting Solutions Automation Consulting and Stakeholder Collaboration Predictive Analytics Statistical Analysis Rapid Improvement Events (RIE) Project Management Process Improvement Written Communication Knowledge, Skills & Abilities (KSA) development Data Extraction Data Mining Data Visualization Tools Vendor Management Leadership Role Analytic Support Risk Management Financial Analysis Budget Analysis Variance Analysis Cost Control and Reduction

Professional Experience

Kaiser Permanente (Radiology/Administration), Oakland, CA August 2005 - July 2025

Data Reporting and Analytics Consultant II, December 2021 - July 2025

Partnered with Controllers to support Supply/Demand and Budgeting Analyses.

Developed and conducted data analysis to forecast Radiology volumes and identify seasonal volume trends, improving forecasting accuracy by 15% and enabling proactive resource allocation.

Monitored process efficiencies across multiple Radiology modalities, identifying and implementing standard work opportunities that reduced average process time between 15-45% based on the individual modalities. Led multiple RIEs in Radiology/ED.

Data Consultant Consulting Data Analyst, February 2006 - December 2021

Worked with internal teams to understand business needs and changing strategies.

Provided supporting information to substantiate research findings.

Interacted with non-technical stakeholders to deliver analyses and answer questions on deliverables.

Developed an AI-driven algorithm to assist Providers with medicine modification for diabetic patients, resulting in lower A1C levels.

Designed and executed queries to proactively outreach patients for preventive screenings, increasing patient compliance rates for Mammograms, Colorectal Cancer, and Cervical Cancer by 5-15%

Optimized Radiology modality schedules, improving productivity, revenue capture, and reducing no-show rates. Designed and ran reports for the Radiology and Medicine Department to support patient workflow.

Collaborated with management, physicians, and staff to develop and implement strategies ensuring the department met 10-day access goals, resulting in 80% of patient appointments within 10 business days.

Continued to assume managerial duties in the absence of upper management, including running staff meetings and handling day-to-day operations.

Assumed interim managerial responsibilities, overseeing daily operations and leading staff meetings during management absences.

Vinit Parekh ************@*******.*** Page 2

Appointment Supply Coordinator (Radiology/Special Procedures), Richmond, CA, August 2005 - February 2006

Worked with management, physicians, and staff in Radiology to achieve 2-week access goals for the various modalities.

Coded timecards for Special Procedures.

Coordinated and organized department team-building events.

Assumed managerial duties during upper management's absence.

Additional Experience

Developed predictive models and automated reporting tools at Wells Fargo, HSBC, and Providian, driving operational efficiency, supporting loss prevention, and enabling data-informed decision-making.

Education

Masters of Science, M.S. Biostatistics

University of Michigan, Ann Arbor

Significant coursework in linear and logistic regression, probability, and epidemiology.

Extensive experience building and applying statistical models.

Strong emphasis on building individual and team presentation skill sets.

Bachelors of Art, B.A. Applied Mathematics

Significant coursework in probability, statistics, and differential equations.

University of California, San Diego

Technical Skills

Proficient in SQL Tableau (v2023) Excel Microsoft Access Word Power BI

Familiar in Data Modeling SAS

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