• Collaborated with cross functional team to analyse sales, finance, customer orders and demand forecasts using data-driven approaches and optimized sales and inventory levels by 12%.• Extracted and retrieved relevant data for data analysis using SQL and maintained data flow to ensure correct information is available for analysis.• Analysed historical sales data and demand patterns using tools like SQL and Power BI to identify cross-selling and upselling opportunities, resulting 7% increase in average order value.• Worked closely with the finance and customer data to analyse budget, product pricing, product cost, customer choices, fast- and slow-moving products and implemented strategies to increase company’s profit by 17%.• Designed and published reports in cloud along with row level security so that authorised departmental staff can only access their part of data.

• Worked closely with stakeholder to understand, analyse and finalise business requirements based on project scope using project management tools called Atlassian and Jira.• Applied data manipulation, interpretation and visualisation, translating raw data into actionable insights.• Analysed cancer patient data from the UK Synthetic Cancer Registry and Australian cancer registry, comparing multiple trends to inform healthcare strategies.• Integrated ICD lookup tables and other tables into datasets, enhancing data clarity and customized columns to ensure data integrity, despite each column containing nearly 2 million rows of data.• Conducted cross-country analysis, unravelling patterns and trends of cancer patient data from 2014 to 2022.• Delivered presentations to key stakeholders, communicating complex information in a clear and understandable manner for making strategic decision.

• Assisted Project Manager with eliciting requirements, generating user stories, finalizing acceptance criteria, developing a business case and hosting SCRUM meetings in 2+ projects.• Identified five or more existing gaps in current system by comparing As-Is model and To-Be model and explored new approaches to exploit potential opportunities.• Contributed to solve underlying problems of ecommerce sector in four critical areas such as quality, cost, consumer service and safety.• Facilitated workshops, conducted interviews and surveyed 100+ Australian’s for gathering data related to purchase, quality and product in COVID situation.•Visualized data using Power BI for useful insights, proposed solution as prototype app design, presented it to decision makers and stakeholders to get project approval in three iterations based on Agile methodologies.

• Planned growth strategies and development by analysing business requirements & customer needs. • Applied data cleaning, data transformation, data visualisation and exploratory analysis on a 2-year customer’s transactional data.• Performed trend analysis using data manipulation tools such as SQL and Python and observed customers buying pattern based on areas and season to understand high performing areas and quarters.• Created an interactive and visually appealing Power BI dashboard to find the best-performing channels based on build KPIs (key performance indicators) and highest ROI.• Mapped customer’s journey and their recurring buying pattern to provide customer centric offers to each customer.• Increased companies profit by 17 % by providing deep performance reports of high-volume key customer accounts.