•Designed and developed end-to-end ELT data pipelines by utilizing various Azure cloud solutions, including Azure Data Factory, Azure Data Lake, Azure SQL.•Designed, developed, tested, and delivered self-service infrastructure and BI content via API, ensuring functionality and accuracy through standard Dev, QA, Prod steps.•Implemented machine learning models and other statistical practices to develop predictive metrics and visualizations for senior leadership teams.•Lead several significant projects including Azure Tenant Migration for Dev team, Gitlab migration, Infrastructure as Code for Azure, Cross-Platform Data ELT, etc.•Developed and maintained technical documentation, such as data model and ELT process flow diagrams.•Provisioned and scaled new infrastructure and platforms to support data science/machine learning initiatives.•Responsible for influencing, leading the thought process, and defining the appropriate methodology for team members and serves as a subject-matter expert in data science/machine learning and other fields.

• Design, develop, test, and deliver self-service infrastructure and BI content, including reports and dashboards, to business professionals using the SQL Server Reporting Services (SSRS) and Power BI• Demonstrated SQL capability by using different advanced techniques including stored procedure, recursive CTE, while loop and cursor, temp table, etc. to pull and manipulate data• Proficient with a variety of Power BI tools including Data Analysis Expressions (DAX), Bookmark, RLS, data modeling, data transformation, etc.• Design, maintain and execute Python script to generate business reports and automate reporting process.• Ensure a high level of data integrity and work output with attention to detail while meeting time-sensitive goals and effectively collaborate with members from different teams• Prioritize and respond to ad hoc requests from internal teams while managing project workloads• Strong communication and interpersonal skills to convey key insights from complex analysis and ability to effectively communicate with both technical and non-technical teams

• Applied advanced Excel functions including Pivot table, Vlookup, Macros, etc to analyze historical data• Created dashboards, conducted researches, and provided distinct insights for management to review • Employed various machine learning algorithms to build predictive models for Commercial Vehicle Tires Dept• Interpreted Univariate, Multivariate, Bayesian statistics, and other supervised/unsupervised learning methods• Excellent communication skills, written and verbal, including the ability to summarize and translate technical output to management

•Diligently analyzed payroll records and government reports such as DE6, DE9, and FUTA, emphasizing precision and strict compliance with regulations.•Consistently ensured reporting accuracy in accordance with established agreements and contracts, including LOU and MOU, demonstrating unwavering commitment to contractual obligations.• Proficiently utilized proprietary data software (ACS) to systematically detect and rectify discrepancies in contribution reporting, showcasing technical proficiency and attention to detail.•Effectively conveyed data insights and findings to employers through clear and concise reporting, enabling informed decision-making.•Exhibited exceptional time management and multitasking skills by efficiently managing and meeting project deadlines across a spectrum of initiatives.