Laraib Kaleem

AI and Data Science graduate with experience developing machine learning, NLP, and data analytics solutions through research, internships, and collaborative projects. Skilled in transforming complex data into actionable insights, building responsible AI systems, and communicating technical findings to diverse audiences. Passionate about applying digital innovation, data, and artificial intelligence to support sustainable development, evidence-based decision-making, and inclusive public-sector transformation

AI/ML Engineer (Trainee) - Samsung Innovation Campus, Samsung Pakistan - Islamabad, Pakistan

(2026-01 - 2026-04)

Project: AutoBiz AI – Autonomous Business Intelligence System

• Architected AutoBiz AI: processed 180,519 real supply chain records using Python/Pandas; engineered Turso cloud database (5 relational tables); deployed 5 intelligent agents generating 799 prioritized decisions per run with zero manual intervention
• Engineered end-to-end ML pipeline: cloud database design (Turso), 3 trained models (XGBoost, Prophet, RandomForest), explainability layer (XAI), interactive dashboard (Streamlit); achieved 85% late-delivery prediction accuracy versus 60% baseline.
• Delivered quantified business outcomes: 4,062 fraud orders detected, 4 critical stockouts prevented, 8-week demand forecasts for 118 products, model training under 3 seconds; reduced manual decision-making by 100%.
• GitHub: https://github.com/LaraibKaleem/AutoBizAI-Database-Dashboard

Business Intelligence Analyst Intern - United Bank Limited (UBL), Data & AI Department - Islamabad, Pakistan

(2024-07 - 2024-09)

• Built 8 interactive Tableau dashboards from 500,000+ financial transactions; reduced executive reporting cycle from 3 days to 1 day and enabled data-driven decisions
• Engineered Python data pipelines (Pandas, NumPy) to clean and transform large-scale datasets; standardized quarterly analysis across 4 departments and reduced manual work by 60 percent
• Conducted exploratory data analysis (EDA) on financial datasets; identified 3 critical business trends impacting credit risk strategy and portfolio performance

Software Developer Intern - Evamp and Saanga, Magento E-Commerce - Islamabad, Pakistan

(2020-01 - 2020-10)

• Developed and maintained Magento 2 system features using PHP and JavaScript; deployed code across dev/staging/production environments
• Optimized e-commerce platform performance; reduced checkout latency through frontend refactoring
• Documented system architecture and processes for team onboarding

Master of Science (MS) - Data Science - Bahria University Islamabad, Pakistan

Bachelor of Science (BS) - Computer Science - Center for Advanced Studies in Engineering (CASE) Islamabad, Pakistan