Highly motivated Data Scientist with a Master's in Systems Engineering, currently holding the position of Assistant Director of Data Analytics at NADRA Pakistan. I specialize in machine learning, particularly Generative AI, Large Language Models (LLMs), Data Analytics, Deep Learning, and Cloud Engineering for deploying solutions on AWS and Azure.

Certified by IBM , Microsoft and Nvidia

My experience encompasses working with diverse domains, including health monitoring, data-driven decision making in banking, image/audio processing and manipulation, and data extraction from large, complex datasets.

• Generative AI: Successfully deployed large language models (LLMs) like LLAMA-3 and Gemma 12-B on a local network (LAN), making them accessible to everyone within the network.
• Data Analytics: Skilled at transforming complex datasets into actionable insights, driving informed decision-making.
• Machine Learning: Possess extensive knowledge in neural networks, deep learning, and algorithm optimization techniques.
• Project Highlights:
  • Health Monitoring: Leveraged neural networks to classify 12-lead ECG signals, potentially aiding in early disease detection.
  • Data Driven Banking: Utilized data analytics to extract valuable insights for informed banking decisions.
  • Image Processing: Successfully deployed and fine-tuned Stable Diffusion for creative content generation and deep fake detection across various media formats.

• Languages: Python
• Frameworks/Libraries: TensorFlow, PyTorch, Scikit-Learn, Keras, FastAPI, Flask, Django, Streamlit
• Tools: Postman, Docker, Kubernetes, GitHub
• Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure

• Automated Attendance System: Developed a real-time face detection system that integrates with a database for efficient attendance marking.
• Gender Verification System: Implemented a deep learning-based solution to identify gender and flag potential discrepancies with database entries.
• Intelligent Document Processing System: An OCR system that recognizes and extracts data from various identification documents like national IDs, passports, and driver's licenses.

• IBM Data Science:
  • Data Science Foundations - Level 2 (V2)
  • Data Science Tools
  • Data Science Methodologies
  • Data Science Foundations - Level 1
  • Applied Data Science with Python - Level 2
• IBM Deep Learning:
  • Deep Learning
  • Accelerated Deep Learning with GPU
  • Deep Learning using TensorFlow
  • Deep Learning Essentials
• Machine Learning:
  • Machine Learning with Python - Level 1 (IBM)
• Data Analysis and Visualization:
  • Data Visualization Using Python (IBM)
  • Data Analysis Using Python (IBM)
• Python:
  • Python for Data Science (IBM)
• Security:
  • ISC2 Candidate (ISC2)
• Microsoft:
  • Microsoft Certified: Security, Compliance, and Identity Fundamentals

• LinkedIn
• Github