SAQEEB PATHAN

Conducted comprehensive analysis of European electricity markets (Germany, Austria, Belgium) focusing on day-ahead, intraday, and ancillary services (FCR, aFRR, mFRR) markets.

• Analyzed power market price data, trading spreads, and imbalance mechanisms to support revenue optimization strategies for battery energy storage systems (BESS)
• Developed Python-based analytics tools for processing ENTSO-E API data and market performance benchmarking
• Created technical documentation and knowledge base content for AI-powered energy optimization platform
• Collaborated with product and engineering teams to model complex market rules and regulatory requirements

Designed and deployed scalable NLP pipelines using state-of-the-art models including BERT and GPT-3.5, achieving 40% time savings in text processing workflows.

• Built computer vision pipelines with OpenCV and YOLO for object detection applications, attaining 92% detection accuracy
• Fine-tuned transformer models and optimized inference pipelines for production deployment
• Conducted exploratory data analysis and feature engineering on unstructured datasets, improving model precision by 15%

Architected and implemented AWS infrastructure (EC2/S3/Lambda) supporting scalable PDF data extraction for 10,000+ users.

• Engineered ML model deployment using Tesseract OCR and PyMuPDF, reducing manual data entry errors by 65%
• Designed SQL schemas and optimized queries achieving 99.8% efficiency for high-volume data operations

Delivered contract-based AI/ML projects for international clients specializing in NLP, computer vision, and automation.

• Developed custom machine learning solutions using Python, TensorFlow, and cloud deployment strategies
• Maintained 100% client satisfaction through timely delivery and robust technical implementations

Automated financial reporting processes using Excel VBA macros, reducing processing time from 8 hours to 45 minutes.

CGPA: 9.0/10.0

Relevant Coursework: Machine Learning, Deep Learning, Artificial Intelligence, NLP, Statistical Analysis, Database Management

Comprehensive specialization covering supervised/unsupervised learning, neural networks, and deep learning.

• Implemented advanced algorithms including CNNs, RNNs, optimization techniques, recommender systems, and reinforcement learning

Expertise in GDPR compliance and regulatory frameworks for ethical AI system design.