Muhammad Rehan Abdullah

Muhammad Rehan Abdullah

Growth Strategist & Data Scientist | LUMS '26 | Ex-LIT Management

Based in: Lahore, PakistanMost recently: Growth Associate, LIT ManagementExperience: 2 years

Hire me

Growth-focused strategist with a background in data science and market analytics. Experienced in doubling prospect pools through targeted outreach at LIT Management and building predictive models (0.86 ROC-AUC) to drive business decisions. Skilled in Python, R, and SQL with a focus on bridging technical execution and commercial strategy.

Experience

Growth Associate

LIT ManagementworkSep 2025
increase in qualified prospect pool
100%increase in qualified prospect pool
high-value B2B decision-makers engaged
50+high-value B2B decision-makers engaged

Summary

Advanced B2B growth via LinkedIn prospecting and market research, engaging 50+ procurement and marketing professionals to successfully double the qualified prospect pool. Facilitated PR and creative campaigns across multiple industries, coordinating discovery meetings to align prospective clients with internal teams for collaborative opportunities. Maintained active communication with key decision-makers, tracking market trends to sustain a consistent flow of commercial partnerships.

What I did

  • Implemented a multi-stage verification stack using LinkedIn Sales Navigator for Boolean filtering and Apollo.io/Lusha for corporate domain verification.
  • Segmented outreach into distinct personas (Marketing vs. Procurement) to align creative campaign offerings with specific budget-holder priorities.

Results

  • Doubled the qualified prospect pool for commercial partnerships by engaging 50+ B2B procurement and marketing decision-makers.
  • Developed a 'Three-Layer Fit' qualification framework targeting strategic alignment, buyer personas (CMO/Brand vs. Procurement), and active buyer signals.
LinkedIn Sales NavigatorApollo.ioLushaB2B Lead GenerationBoolean Search

Marketing Intern

Cartel Media and PRinternshipJul 2025 – Sep 2025

Summary

Created strategic campaign decks for major brands, including Xiaomi, Lookin, and Neon Square, to increase their overall visibility and expand target audience reach by 20%. Delivered social media strategies by uploading 15+ reels totaling over 300,000 collective views while boosting average account engagement by 30%.

Results

  • Expanded target audience reach by 20% for major brands.
  • Generated over 300,000 collective views via 15+ reels.
  • Boosted average account engagement by 30%.
Social Media StrategyCampaign Decks

Management Intern

KAPCOinternshipJun 2024 – Aug 2024

Summary

Analyzed HR data to find inefficiencies in workforce allocation, helping the company cut excess staffing costs by 10–15%. Created an inventory management plan to improve stock turnover and reduce holding costs, with projected savings of 7–10%. Led content and reporting for CSR projects, increasing brand visibility and engagement with over 1,000+ stakeholders.

Results

  • Helped cut excess staffing costs by 10–15%.
  • Projected savings of 7–10% through improved inventory management.
  • Increased brand visibility with over 1,000+ stakeholders.
HR Data AnalysisInventory ManagementReporting

Skills

Technical

LinkedIn ProspectingLinkedIn Prospecting
Microsoft Excel
PythonPython
RR
Market Research
Sentiment Analysis
LDA Topic Modeling
Meta Ads
A/B Testing
C++C++
SQLSQL
Precision Tree
RISK
Power BI

Projects

Market Analysis – Pawfection

Lead Analystacademic
Executed sentiment analysis and LDA topic modeling on 558 scraped reviews using R Studio, identifying critical market opportunities in service reliability. Strategized a premium service model with pricing up to PKR 12,000, targeting high-income demographics in 3 major cities to capture unmet demand for stress-free pet care.
R StudioSentiment AnalysisLDA Topic Modeling

Emergency Response Optimization – Rescue 1122

Optimization Leadacademic
Developed a Maximal Covering Location Problem (MCLP) model to optimize the deployment of 6 ambulances across 25 critical zones, utilizing Moving Average forecasting to predict emergency hotspots. Analyzed 6 months of historical incident data to identify coverage gaps, recommending a strategic redeployment plan that maximized potential coverage for 1,499 projected emergencies.
MCLP ModelMoving Average ForecastingData Analysis

Strategic Marketing Plan – Shay Clothing

Marketing Strategistacademic
Formulated a digital-first strategy with a PKR 2.6M budget, deploying a tiered influencer mix and Meta Ads to generate 100,000 weekly impressions for a brand repositioning campaign. Defined critical KPIs, including CAC, LTV, and conversion rates, to monitor performance, utilizing A/B testing and seasonal forecasting to optimize ad spend and maximize ROI.
Meta AdsA/B TestingSeasonal Forecasting

Deloitte Digital Democracy Survey Analysis

Data Scientist / Lead Analystacademic
Used K-Means clustering and Random Forest classification to segment 6,412 US consumers and predict streaming subscription behavior with 86.1% ROC-AUC.
PythonK-MeansRandom ForestPCAPandasScikit-learn

Media

Education

BSc (Hons.)

Lahore University of Management SciencesManagement SciencesSep 2022 – May 2026

Coursework

Business AnalyticsData Analytics for New Product DevelopmentOptimization MethodsBrand ManagementData Science for Decision Making

A-Level / O-Level

Beaconhouse Newlands, LahoreSep 2020 – May 2022

Recognition

Awards

100% Merit Scholarship

Beaconhouse Newlands, Lahore2020

Awarded for academic excellence during A-Levels/O-Levels.

Social impact & activities

Team Lead

OG FestivalorganizerMar 2025 – Mar 2025

Led a 12-member media team to flawlessly cover OG Fest 2025's high-profile lineup (Ali Azmat, Shae Gill, Hasan Raheem), coordinating content strategy and execution with festival organizers under tight deadlines.

Assistant Director of Creativity and Publicity

PhotoLUMSorganizerOct 2023 – Apr 2024

Led a team of 10 in overseeing all the art direction. Managed and executed decor for 6 significant events in the current year, including our largest event, 'LAPS,' which hosted over 650+ participants. Dedicated over 60 hours to designing and implementing decorations for the LAPS.

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