Mohammed Nasim

As a data analyst, I approach every challenge with ambition and diligence, driven by a meticulous and logical mindset to uncover precise insights. My commitment to mastery ensures I continuously refine my structured methodology, transforming complex data into actionable strategies for impactful decision-making.

Experience

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Data Analyst

NKP Empire Ventures Pvt Ltd · Jan 2024 – Present

Not yet confirmed

• Designed and maintained 8 Power BI dashboards across sales, customer engagement, and financial KPIs, driving a 12% increase in customer engagement and adoption by 4 cross-functional teams.
• Automated recurring MIS and WoW/MoM sales reporting using Power Query and SQL, reducing report turnaround time by 30%.
• Reduced material wastage by 8% through data-driven wastage and process analysis, delivering measurable cost savings across outlet operations.
• Analysed sales and financial performance data to identify trends and growth opportunities, supporting strategic and operational planning for senior management.
• Planned month-wise targets for stockists, customers, and salespersons based on historical performance, aligning targets to business objectives.
• Prepared Monthly Nielsen-style reports and stockist-wise warehouse allocation plans, streamlining inventory distribution across outlets.
• Built ad-hoc and holiday-period sales forecasting models to support inventory and staffing planning around peak-demand periods.
• Built data visualisations using Advanced Excel (Pivot Tables, Pivot Charts, VLOOKUP, HLOOKUP, Data Validation, Macros) and Google Sheets, reducing manual effort in recurring reporting workflows.
• Collaborated with the marketing team to track promotional scheme participation and campaign performance across outlets, providing data-driven insights that informed pricing and offer strategies.

Data Analyst

NKP Empire Ventures Pvt. Ltd · Jan 2024 – Present

Not yet confirmed

• *Reduced monthly MIS reporting cycle by 30%, saving ~12 man-hours per month, by automating data consolidation across 8 outlets using Power Query and Excel macros.
• *Increased customer engagement by 12% by analysing ordering behaviour shifts post-LPG supply disruption and recommending a menu-mix rebalancing toward high-demand tandoor items.
• *Reduced food wastage by 8% by implementing SKU-level wastage tracking models in Excel, enabling outlet managers to adjust purchase orders in real time.
• *Standardised cross-outlet reporting by building a shared Date Table and DAX measure library in Power BI, reducing ad-hoc query requests by an estimated 25%.