- Analyze large datasets to identify trends, patterns, and insights related to customer behavior, sales performance, and operational efficiency.- Develop and maintain reports, dashboards, and visualizations to communicate findings and drive data-driven decision-making.- Collaborate with cross-functional teams to define key metrics, conduct experiments, and optimize business processes.- Utilize statistical analysis and predictive modeling techniques to forecast demand, optimize inventory levels, and enhance marketing strategies.- Provide actionable recommendations to improve product offerings, customer experience, and overall business performance.Major Projects - 31st Dec 2023 extracted breathing insights and transformed it to profitable business- cost saving by operating on KPI's and improving certain leavers-Forecast

• Data Collection via flat files , database connections with MS SQL SERVER• Collaborated with adjoining teams regularly to ensure smoother process flow and data sharing• ETL processing and Data Manipulation using Excel and SQL• Prepared & Updated Weekly Monthly PowerBI Dashboards and presented them• Conducted Data Interpretation for Data Driven Decision Making• Created Python API to segregate Incoming& Out going mails to ensure we reach everyone• Automated this mail tracking process saving 10+ hours of manual work weekly.• Coordinated and Collaborated with different teams• Ensured smooth process flow and & Data sharing for Data integration

• Improved Process efficiency by Automating numerous Excel reports using Macros & Power Query• Created & Managed Management Reporting and funnel dashboard• Undertook Analysis on various costumers cohorts as self initiative and Management Requirement .• Identified costumer insights using Database Queering & present it to Management.• Translated database reporting needsinto SQL proceduresfor data extraction and reporting• Client servicing , issue resolving and query handling for key clients• Formulated Standard Operating Procedures(SOPs) for the process to ensure uniformity• Reduced reporting time efforts by ~66% by implementing automation strategies• Awarded with “Star performer of Month April”.

• Introduced Data Processing & Data Interpretation Analysing Monthly Data Reports using Excel Pivot tables, Power query• Used Excel Pivot Table and Power Query for Business Intelligence Report Creation• Used Data Translation Data Exploration to reduce rejection up to 45.60%.• Increased machine cycle timing by 6.20% with Altered SOP’s resulted in increase of 4% over all profit.• Aced all the scorecard instances, was the best-performing employee for two consecutive months.• Mentored new trainees