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Research Intern with less than a year in Financial Modeling & Data Analysis
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Muhammad Shaheer Sohail is an aspiring professional with experience in financial modeling, investment analysis, and data analytics. He has demonstrated skills in Python, R Studio, MS Excel, and statistical analysis, contributing to projects in macroeconomic data evaluation, capital structure reporting, and machine learning for price prediction. His background includes internships in research and social initiatives, complemented by certifications in research procedures and data-related programs.
Institute of Business Administration - Karachi
BS - Economics (Minor Finance) · Economics with Minor in Finance
August 1, 2022 – May 1, 2026
AKD Securities
Research Intern
June 1, 2025 – August 1, 2025
India
The Citizen Foundation (TCF)
Social Intern
June 1, 2024 – August 1, 2024
India
Used Smartphone Pricing Analysis and Regression Modeling
June 1, 2026 – June 1, 2026
Analyzed 1,200+ used smartphones (5 brands) and built an OLS model explaining 62.1% of price variation (R2 = 0.621), identifying RAM, storage, and display size as key drivers. Conducted segmentation showing 93% rational pricing and 7% brand premium in the market.
Final Year Project
June 1, 2026 – June 1, 2026
Examined 25 years of macroeconomic data to evaluate exchange rate volatility's effect on FDI, finding a 20.57-unit increase in short-run FDI inflows associated with higher exchange rate volatility. Built and validated an econometric model that found a 1% increase in infrastructure spending is associated with a USD 2.48 billion increase in long-run FDI inflows.
Machine Learning Project (PakWheels Used Car Price)
June 1, 2026 – June 1, 2026
Constructed a model in Python to predict the prices of 50,000+ used cars in Pakistan. Leveraged Python to develop a pricing forecast model, improving prediction accuracy by 30% over existing models.
Capital Structure Report: Lucky Cement (LUCK)
June 1, 2026 – June 1, 2026
Performed trend analysis on 5 years of financial statements, uncovering a 9.7× increase in net income and 11.6× growth in EPS, supporting assessment of profitability and dividend policy decisions.
Business Analytics Dashboard: Customer Conversion and Revenue Insight (Bazaar Technologies)
June 1, 2026 – June 1, 2026
Analyzed 10,000+ acquisition records (SQL/Pandas), finding Google as top channel with >50% peak conversion rate. Processed Rs. 160.2M+ in sales data, finding Rs. 20.9K AOV and a 14.26% cancellation rate.
Forward Learner Program
McKinsey
June 1, 2026 – Present
Research Procedures Using R
Unknown
June 1, 2026 – Present
Roshan Kal Program
Pepsico and KFC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Economics with a minor in Finance, coupled with internships in research and social work, indicates a diverse interest and a proactive approach to learning. Participation in various academic and extracurricular activities suggests a collaborative and engaged individual. The projects show an ability to work with different types of data and apply analytical techniques, which aligns with a research-oriented role. However, the direct relevance to 'API' research is not explicitly demonstrated, which might require further exploration.
Soft Skills & Operational Fit
The candidate demonstrates teamwork and leadership through their social internship at TCF and extracurricular activities. Their ability to present research reports and engage with donors suggests good communication and interpersonal skills. The academic projects highlight a structured approach to problem-solving and data interpretation, which are valuable for an API Research Intern role.