MUHAMMAD SHAHEER SHAIKH
OTHER-UNCATEGORIZED
· 2026
Email
m.shaikh.26492@khi.iba.edu.pk
Phone
334/380-1305 / 03082267164
GitHub
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Academic
Program
BBA
CGPA
3.31
Year
2026
Education
Institute of Business Administration
Address
Karachi
DOB
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Career
Current role
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Target role
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Skills
Marketing, Consulting, Sales, Business Processes, Qualitative Research, Quantitative Research, Consumer Journey Analysis, Strategic Business Decisions, Machine Learning, Data Analysis
Interests / quote
A Management and Marketing major, looking to progress in Consulting, Sales or hiking around in the wild.
Verbatim text
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MUHAMMAD SHAHEER SHAIKH Email: m.shaikh.26492@khi.iba.edu.pk | Phone: 334/380-1305 / 03082267164 LinkedIn: https://www.linkedin.com/in/shaheer-shaikh6/ CAREER OBJECTIVE A Management and Marketing major, looking to progress in Consulting, Sales or hiking around in the wild. EDUCATION BBA – 2026 Institute of Business Administration, Karachi, CGPA: 3.31 HSC – 2022 Adamjee Government Science College, Karachi Grade/Percentage: A SSC – 2019 Other, Karachi Grade/Percentage: 89% MAJORS Marketing INTERNSHIP/WORK EXPERIENCE Intern DP World Pakistan | Jun 2025 - Aug 2025 Commercials Intern | 6 week rotational program across different departments within the commercials domain, learnt business processes, gathered insights and presented leadership team with actionable recommendations report. TERM PROJECT(S)/RESEARCH WORK(S) • SUV Demand Analysis - BYD Motors : For my Final Year ELP, I worked with BYD (MMC) Pakistan to conduct a Qualitative plus Quantitative Research for SUV Category. Through IDI's, FG's and Surveys we analysed category triggers, barriers, consumer journeys and gave actionable insights for strategic business decisions. • Cracking the 20Rs Price Point - Mondelez : As part of a sales management course, authored a case on inflationary pressures, and market changes in confectionary industry in Pakistan and Mondelez Pakistan's strategy to combat them. • Credit Default Prediction Model | AAMD : For my Analytical Approach to Marketing decisions course, my team developed a Machine Learning model to predict customer default using a TVS Credit dataset with 180,000 data points across 40 dimensions. INTERESTS & HOBBIES • Hiking, Contemprary urdu Poertry,