I am a data professional specializing in analytics, data engineering, and business intelligence (BI), with expertise in customer experience (CX) and retail analytics. I leverage data-driven insights, automation, and scalable data solutions to optimize business processes, enhance decision-making, and improve customer engagement. Skilled in Python, SQL, Power BI, and cloud platforms (Azure, GCP), I have hands-on experience in ETL, data wrangling, visualization, and advanced analytics to drive operational efficiency and business growth. At Atidiv, I developed an Agent Performance Dashboard to monitor key metrics such as First Response Time (FRT), Customer Satisfaction (CSAT), and Resolution Rate, providing real-time insights for leadership. By analyzing 10,000+ customer support tickets, I identified inefficiencies and optimized workflows, resulting in a 20% reduction in resolution time and a 15% increase in CSAT scores. Additionally, I automated reporting processes, improving operational efficiency by 30% and enabling better decision-making. My work streamlined performance evaluations and empowered stakeholders with actionable insights to enhance customer support operations. At Mu Sigma, I worked as a Decision Scientist, leading customer analytics and engagement initiatives for a major retail client. I analyzed customer behavior, marketing campaign performance, and engagement metrics, providing data-driven recommendations that improved customer retention by 15% and Customer Lifetime Value (CLTV) by 10%. I developed dashboards for RFM analysis, basket analysis, and CLTV modeling, helping the business track customer interactions and optimize marketing strategies. In addition to my analytical work, I implemented Azure data pipelines, reducing data processing time by 30% and improving data quality by 20%. I also enhanced ETL processes, increasing efficiency by 25%, ensuring data accuracy, and enabling real-time reporting. These solutions improved decision-making efficiency by 15%, allowing business leaders to make data-backed strategic moves. Google-certified Data Engineer with Deep Learning expertise, skilled in AI-driven analytics and machine learning applications. With a passion for solving complex business problems through data, I focus on building scalable analytics solutions, automating reporting, and enhancing customer experience through data-driven decision-making. My expertise in data analytics helps transform raw data into actionable insights, optimizing processes, improving efficiency, and driving strategic business growth.