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AI Engineer with 1+ years in AI, Machine Learning, and Computer Vision with 1.0 years of experience.
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Final-year Data Science student specializing in AI, Machine Learning, and Computer Vision, with 1+ year of industry experience at PepsiCo building end-to-end AI pipelines, BI dashboards, and statistical models. Proficient in Python, SQL, Scikit-learn, YOLOv11, Power BI, and ETL systems. Experienced in Agile, data-driven decision-making, and stakeholder reporting. Recognized nationally for AI innovation impact by Ignite National Technology Fund (MoITT).
Air University
B.S. in Data Science · Data Science
N/A – June 30, 2026
PepsiCo – Haidri Beverages Franchise
AI & Data Analytics Intern
June 1, 2025 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
PepsiCo – Haidri Beverages Franchise
Data Analyst Intern
July 1, 2024 – August 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Air University
Data Science Intern
June 1, 2023 – July 1, 2023
Islamabad, Islamabad Capital Territory, Pakistan
CPI Dynamics & Socio-Economic Clustering
June 1, 2026 – Present
Conducted city-level time-series forecasting using ARIMA and Facebook Prophet on Pakistan CPI data to model inflation trends. Applied K-Means Clustering to segment cities by economic vulnerability; delivered interactive Power BI dashboard with dynamic drill-downs for stakeholders.
SafeRaah - AI-Powered Accident Detection & Emergency Response System (Final Year Project)
June 1, 2026 – Present
Designed a real-time computer vision pipeline using CNN-based architecture to detect road accidents from live video feeds and trigger automated emergency alerts, achieving high-accuracy classification across diverse lighting conditions. Optimized inference latency for edge deployment, investigating real-time CV architectures for continuous video stream processing. Awarded Top 7 (GovTech) at Ignite National Technology Fund and Top 13 / 300+ at AU Business Incubation Center for innovation and social impact.
Gated Mixture-of-Experts for Salary Prediction
June 1, 2026 – Present
Built a Gated Mixture-of-Experts (MOE) ML architecture with a Random Forest gating network directing job data to specialized XGBoost regressors, optimizing predictions for standard and high-pay roles. Converted unstructured text (Skills, Functional Area) into predictive features using TF-IDF and SVD; applied FP-Growth for skill co-demand analysis, revealing 'Power Skill Clusters'. Achieved strong forecast accuracy (RMSE, MAE, R²) and built a Power BI dashboard for actionable salary-driver insights.
Intermediate Data Modeling in Power BI
DataCamp
June 1, 2026 – Present
Python for Data Science and AI
Coursera
June 1, 2026 – Present
Google Analytics Certification
Google Skillshop
February 1, 2026 – February 1, 2027
Data Analyst Associate
DataCamp
August 1, 2025 – August 1, 2027
Cultural Fit Analysis
The candidate's involvement in multiple academic competitions and leadership roles (AIRVIZ, DataQuest, AI & Data Society) showcases a proactive, collaborative, and community-oriented mindset. Their diverse project portfolio, ranging from social impact (SafeRaah) to business intelligence (PepsiCo internships) and advanced ML research (Gated Mixture-of-Experts), indicates adaptability and a broad interest in applying AI/ML across different domains. This aligns well with a culture that values innovation, continuous learning, and practical application of skills.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and organizational skills through their roles as Competition Head, Event Head, and Tech Lead, indicating an ability to manage projects and mentor peers. Their experience in Agile environments and stakeholder reporting suggests good operational fit and communication for team-based projects. The descriptions of project impact (e.g., reducing manual reporting time, improving efficiency) highlight a results-oriented mindset.