Data Analyst

• 7 + years of experience in data analytics with a strong foundation in statistics, data modeling, and visualization. • Proficient in Python & R for advanced statistical analysis with SQL skills to ensure accurate business reporting using tools such as Power BI, Tableau & Excel and commendable presentation skills. • Dedicated and results-driven in IT technology and operations and a passion for using data to drive business decision and deliver valuable insights, skilled in Business acumen, Data profiling, Data lineage. • Proven expertise in facilitating the end-to-end data science life cycle, from data cleaning and processing to exploratory data analysis, model building, and streamlining through ETL Data pipeline (Azure, AWS, GCP) • Proven track record of successfully collaborating with cross-functional teams to collect data requirements, translate them into technical specifications, and deliver analytical components that align with business goals. • Experienced working with different domains such as retail, banking, insurance, and healthcare. • Strong analytical mindset, effective communication, and problem-solving skills contribute to a dynamic team. • Served as a mentor to fellow data analysts, fostering a collaborative and growth-oriented team environment. • Eager to contribute to a dynamic team through problem-solving and analytical thinking. Analyzed business data through statistical analysis, programming, and data visualization to drive impactful insights. • Strong background in developing data quality rules, data validation checks, and profiling techniques. • Experienced in conducting technical training sessions for end users, ensuring smooth adoption of BI tools. • Known for a customer-focused approach, prioritizing accuracy and clarity in data solutions. • Committed to advancing expertise in machine learning and artificial intelligence for real-world data analysis challenges. Proven experience and strong knowledge of business process modeling (BPM). • Experienced in SCRUM agile methodologies and all stages of the SDLC (Software Development Life Cycle). • Strong business, strategic and tactical thinking skills, and detail-oriented with superior communication skills. • Proficiency in using MS Office Suite (Advanced Excel, Word, PowerPoint), including Visio, Miro. • Proven ability to provide valuable insights and analyze KPIs to assess business performance. • Created Epics, Features, User Stories, Enabler Requirements for API, and Database tasks, UX Wireframes, Workflow Diagrams, Swimlane Diagrams, Use Cases, Test Cases, Test Plans, User Guides, End user Training. • Facilitated and managed User Acceptance Testing (UAT) sessions with end users and customers. • Certified Microsoft PowerBI associate and ECBA certification from IIBA endorsed education provider.