Vikas Kansal Email & Phone Number

Data Science, Analytics Engineering & Business Intelligence LeaderMaster’s Degree in Statistics | 18+ Years of Expertise in Healthcare and Advanced AnalyticsInnovative, results-driven professional with extensive experience in both strategic and technical aspects of Data Science, Analytics Engineering, and Business Intelligence. Adept at designing and implementing data-driven solutions that transform businesses through actionable insights.Technical Strategy & Deep-Dive Expertise: Skilled in navigating architectural and modernization challenges while driving broad technical strategies. Proven ability to design and lead initiatives for building data platforms, data products, and analytical applications.Advanced Analytics & Business Intelligence: Proficient in Power BI, Tableau, and Adobe Customer Journey Analytics (CJA) to deliver impactful visualizations and data insights that inform decision-making processes.Domain Expertise in Healthcare Data: Deep knowledge of healthcare datasets including claims, marketing, consumer 360, CAHPS, NPS and plan/benefit data, ensuring alignment of analytics strategies with business objectives.Cross-Functional Collaboration: Effectively partners with business and technology teams to transform concepts into high-value AI/ML and BI solutions. Skilled in translating complex data insights into actionable strategies.Leadership & Team Management: Strong track record of managing global teams across onshore and offshore locations, ensuring seamless execution and delivery of complex BI projects. Focused on fostering growth and mentoring technical teams.Process Improvement & Efficiency: Six Sigma certified, consistently driving process enhancements and operational efficiencies across analytics and reporting frameworks.Versatility Across Technology Stacks: Extensive experience with multi-generational Big Data and Technology stacks, including Cloud (Azure), On-Premise (Hadoop, SAS), and hybrid technologies. Proficient in using Databricks, Snowflake, SAS, Python, R, Hive, SQL, ADF, and more to build scalable solutions.Key Competencies: Data Management, Data Analysis, BI Strategy, AI/ML Strategy, Data Engineering, Visualization, Machine Learning, and Advanced Analytics.Business Functions: Marketing, Payment Integrity, Consumer/Customer Experience & EngagementThis version highlights your leadership skills, technical prowess, and domain expertise, while maintaining a focus on your ability to drive strategic initiatives and lead teams.

Listed skills include Sas, Sql, Predictive Analytics, Python, and 12 others.