- Creating and managing dashboards for sales enablement across the MEA region (distribution)- Working in collaboration with multiple functions to develop effective sales strategies for different country clusters - Led exploratory data analysis projects leveraging Python libraries such as Panel, Pandas and Numpy to identify gaps in Sales budget & actuals YoY- Utilized gathered information to draw conclusions about trends, variance to forecast and budget, and tracked business performance using Voila Dashboard (Python)- Working in conjunction with Sales, Finance and leadership teams to report documents for Quarterly & Monthly Business Reviews- Worked on predictive analytics to identify new opportunities, locations & Sales channels based on geopolitical situations, Forex and credit terms thus boosting sales for the business- Working on developing competitive intelligence to test what's working/not working for the competition in the same line of business to leverage learnings & strengths to be implemented for internal sales model for every targeted location- Brainstormed and ideated on leading more exploratory projects for KPI improvements- Collaborated with Third party vendor, Internal Sales team, IT Team & Operations leadership to complete UAT testing for planning and budgeting activities using Anaplan tool

• Designed strong analytical solutions to track Key Performance Indicators for Site performance Comparison & internal calibrations leveraging Tableau, Google Data Studio & Superset enabling business leaders to drive actionable insights• Led projects for end-to-end automation of recurring reports & dashboards by creating data connection b/w Jupyter & SQL Lab (Presto), Pre-processing & Formatting leveraging Python Libraries (Pandas, Numpy, Measured, Gspread etc.) & Tokenized delivery using Google Developer API. Saving cost of 1 FTE/Year, reduced turnaround time and increased accuracy• Designed self-serve dashboards for stakeholders with advanced filtering and deep dive capabilities to fetch realtime raw data for scrubbing & audit purposes• Used the information gathered to draw conclusions about trends, variances and business performance to brainstorm & ideate on leading more exploratory projects for KPI Improvements on network level• Streamlined & maintained standards for metrics, queries, reports and scorecards mapping to business needs• Ensured quality & integrity for managing data assets to be analysis ready, Collaborated with data engineering and data science teams to investigate any data quality issues and implemented long term solutions/fixes• Provided consultation and led cross-functional discussions to address business issues

Business Unit: Amazon AU• Designed reports & dashboards, to enable business leaders in gauging daily achievement against financial targets & draw insights on forecast accuracy going below a threshold value• Implemented the 4-eye Compliance Review framework for preparation, reconciliation & delivery of business accruals and ATBs which involved auditing against agreed KPIs across various delivery centres to ensure quality service to the client• Analysed trends pertaining to final achievements against the forecast & financial targets, performing deep dives and recommending enhancements for efficiencies

• Performed analysis to determine accuracy between staffing model requirements and actual employee delivery leading to improved organisational performance (by ∼ 35%)• Led ad-hoc exploratory projects for KPI Improvements on network level (within CNX)• Provided consultation and led cross-functional discussions to address business issues• Provided actionable data-driven recommendations to stakeholders’ business questions• Performed business research that is designed to improve related processes by capturing, analyzing and documenting business & user requirements, thus contributing to cost savings and other efficiency requirements.