Syed Muhammad Zeeshan Nasir

Commercial Strategy & Analytics | Ex-Nestlé & Bazaar | Building AI-Driven Market Intelligence

Most recently: Sales Intern, Nestlé Pakistan

Hire me

Data-driven commercial strategist with a track record of optimizing margins and mapping growth at scale. From benchmarking 132,000 SKUs at Bazaar to building AI-powered influencer intelligence for Brand Pulse, I bridge the gap between complex datasets and actionable sales strategy. Skilled in Python, Power BI, and n8n to automate market insights and drive revenue growth.

Experience

Sales Intern

Nestlé PakistanworkJul 2025 – Aug 2025

Summary

9,400+ customer database lacked prioritisation, causing sales resources to be spread thinly across accounts with unequal revenue potential.

What I did

  • Applied Pareto analysis to segment accounts by revenue contribution, surfacing the top 20% driving 80% of volume.
  • Mapped 1,100+ education and healthcare accounts, uncovering 63%+ and 78%+ growth potential respectively across Fruita Vitals and Nesfruita.
  • Partnered with Area Sales Managers to co-launch 'Back to School' and 'Hospital Induction' drives, converting mapping insights into prioritised call plans adopted into Q3 channel strategy.

Results

  • Developed Power BI visualizations to support Pareto analysis of 1,100+ accounts, identifying the top 20% driving 80% of volume.
  • Visualized growth potential in education (63%+) and healthcare (78%+) sectors to prioritize call plans for Area Sales Managers.
  • Identified top 20% of accounts driving 80% of volume.
  • Uncovered 63%+ and 78%+ growth potential in education and healthcare accounts.
Pareto analysisMarket mappingAccount profilingPower BI

Commercial Sales Intern

Bazaar TechnologiesworkJun 2024 – Aug 2024

Summary

New B2C vertical lacked a data-backed assortment strategy, risking category misalignment and margin dilution.

What I did

  • Benchmarked 132,000+ SKUs across 26 categories against Carrefour, Imtiaz, and Metro to surface brand-level assortment gaps.
  • Partnered with Area Sales Managers to prioritise high-velocity, high-margin SKUs absent from the planned range, informing supplier negotiation sequencing.
  • Findings shaped the go-to-market product mix, improving estimated category margin contribution by ~15% vs. the original selection.

Results

  • Built a Power BI dashboard to visualize 132,000+ SKUs, enabling Area Sales Managers to distinguish high-velocity/high-margin items from underperformers.
  • Mapped category importance to inform assortment strategy, contributing to a ~15% improvement in estimated category margins.
  • Benchmarked 132,000+ SKUs.
  • Improved estimated category margin contribution by ~15%.
Competitive benchmarkingAssortment strategyData analysisPower BI

Skills

Technical

Microsoft Excel
n8n
PythonPython
Google Sheets
Competitive benchmarking
Conjoint analysis
Market mapping
Account profiling
Power point
SlackSlack
Survey design
Canva
Choice modelling
RR
Power BI
Meta Ads Manager

Projects

Market Share Modelling | Udhaarpay (BNPL)

Market Researcherprofessional
Designed a conjoint survey and built a multinomial logit model in R to simulate market share across 7 competing BNPL product configurations. Optimised configuration achieved 22.7% simulated share, highest among all concepts; price sensitivity analysis prevented a 4%+ share decline from overpricing.
RConjoint surveyMultinomial logit model

Sales & Pricing Analysis | Burger King

Data Analystpersonal
Applied OLS regression in Python and R and K-Means clustering to 730k+ transactions across 3 countries to identify demand drivers and segment 400+ stores into performance tiers. Top-tier stores delivered 2.2× higher net sales; identified 28% weekend uplift and 0.3% volume increase per discount unit, informing promo and territory planning.
PythonROLS regressionK-Means clustering

AI Influencer Intelligence Platform | Brand Pulse

Developerpersonal
Building Brand Pulse, an n8n-powered influencer intelligence pipeline using Claude LLM to scrape campaign comments and classify commercial intent. The system identifies a brand's 'social power muscle', flags negative sentiment areas, and suggests engagement strategies. It successfully maps loyal commenters and provides actionable strategies for customer base expansion based on comment sentiment and frequency.
n8nClaude LLMWeb ScrapingDashboarding

Education

Bsc (Honours)

Lahore University of Management Sciences (LUMS)Management SciencesGPA 3.01 / 42022 – 2026

Coursework

Business AnalyticsOptimization Methods in BusinessMarketing ModelsDecision AnalysisComputational Problem SolvingProbability and StatisticsPrinciples of Management AccountingGenerative AI for BusinessFinancial TechnologySales Force Management

Societies & activities

LUMS Media Arts Society

FSc

Pakistan Air Force College SargodhaPre-Engineering2019 – 2021

Governance & advisory

Director Events

LUMS Media Arts Societycommittee chairSep 2023 – May 2025

Secured Rs. 0.5 million in sponsorships from major brands like TikTok and Nestlé for FILUMS. Led event planning and engaged 2,000+ attendees by collaborating with top entertainment personalities like Ahad Raza Mir, Humayun Saeed, and Zara Noor Abbas. Secured PepsiCo sponsorships and managed 10+ vendors, generating PKR 140,000 in net profit for the Funtaar event.

What drives the work

Motivations

  • Building AI-driven commercial tools
  • Scaling high-growth brands
  • Bridging data and field execution

Principles

  • Data Integrity
  • Strategic Growth
  • Stakeholder Empathy
Hire SyedReach out about a role, a contract or a conversation.For recruiters

Syed's twin is AI, it can make mistakes.

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