Muhammad Nasir

Islamabad, Pakistan

Lead AI/analytics initiatives delivering predictive models and NLP systems on multi-source intelligence data (news, social, audio/video).

• Automate OSINT collection and feature pipelines; build Power BI and geospatial dashboards for senior leadership.
• Designed AI-driven tools for threat prediction, anomaly detection, and resource optimization.
• Conduct trend, hotspot, and anomaly analysis to identify emerging risks and optimize resource allocation.
• Deploy AI tools that reduced manual processing and improved situational awareness for national-level operations.
• Built predictive models and NLP systems to analyze unstructured data from news, audio/videos, social media, and intelligence documents.
• Delivered solutions that improved decision-making and reduced manual processing, enhancing efficiency.

Islamabad, Pakistan

As a Computer Programmer, I led data-driven initiatives to enhance agricultural research, policy-making, and operational efficiency through advanced analytics, machine learning, and system development. Built ML models for crop yield forecasting, pest risk prediction, and resource optimization supporting agri-policy decisions.

• Designed ETL workflows and MIS dashboards monitoring production, markets, and regional KPIs.
• Delivered statistical analyses and secure MySQL-backed research systems for institute stakeholders.
• Conducted data collection and statistical analysis to derive actionable insights into agricultural trends across Pakistan.
• Built interactive MIS dashboards and reports to monitor crop production, market trends, and regional performance.
• Applied machine learning models for forecasting crop yields, pest risks, and resource optimization in agro-tech.
• Automated ETL pipelines to unify and preprocess large datasets for analysis and decision-making.
• Managed IT infrastructure and collaborated with research teams to ensure datadriven policy recommendations.
• Designed and developed a secure website and database (MySQL) to manage research and analytics for the institute.

Saudi Arabia

Remote - Lead Senior Data Scientist

• Integrated Meta WhatsApp Business Platform for enterprise chatbot deployment.
• Designed and developed AI-powered conversational experiences using Large Language Models (LLMs).
• Built intelligent recommendation systems for tourism, hospitality, dining, and local experiences.
• Developed NLP pipelines for multilingual (Arabic & English) intent detection and response generation.
• Integrated Google Gemini and real-time web search into AI workflows.
• Built user profiling and personalization systems based on conversation history and user interests.
• Implemented AI image analysis capabilities for visual understanding.
• Designed data collection and analytics pipelines to improve AI recommendations.
• Developed backend APIs and AI services using Python.
• Built workflow automations using n8n for data ingestion and knowledge updates.
• Optimized prompt engineering, retrieval workflows, and AI response quality.
• Collaborated with product and engineering teams to deliver production-ready AI solutions.

Islamabad, Pakistan

Created predictive models for overseas employment trends using RapidMiner and Python for policy support.

• Built executive analytics dashboards (Laravel, AmCharts, Highcharts) and Bureau MIS for emigrant operations.
• Applied NLP on complaint text to surface service-improvement insights; optimized large MySQL databases.
• Designed and developed Executive Analytics Dashboards using advanced visualization libraries (AmCharts, Highcharts) in Laravel, providing real-time insights into emigration trends and operational metrics for government stakeholders.
• Built and maintained a Bureau MIS System, integrating complex datasets to generate actionable insights for decision-making.
• Conducted trend analysis of emigrants, identifying top destination countries and popular job categories based on historical emigration data, aiding policy formulation.
• Developed and managed large-scale databases (MySQL), ensuring efficient data storage and retrieval through query optimization techniques such as indexing and caching.
• Implemented automation processes using cron jobs in Laravel for data extraction, transformation, and loading (ETL).
• Applied Natural Language Processing (NLP) techniques to analyze emigrants' complaint data, identifying common issues and trends to improve service delivery.

Islamabad, Pakistan

Developed APIs for IPTV/Smart TV platforms and researched collaborative-filtering recommendation engines.

• Improved real-time query performance via indexing/caching; deployed on AWS with Git-based delivery.
• Developed web services for IPTV boxes, Smart TVs and Android/IOS applications.
• Designed and developed APIs to collect and manage large datasets for IPTV boxes, Smart TVs, and Android/iOS applications, ensuring seamless data integration across platforms.
• Conducted R&D for a Content Recommendation Engine leveraging collaborative filtering techniques, enabling personalized content suggestions for users based on historical usage data.
• Explored advanced algorithms and data structures to support predictive analytics and user behavior modeling.
• Reduced query execution time by implementing indexing strategies, significantly enhancing system performance.