Mohammad Abdul Jaleel
About Candidate
An enthusiastic and highly motivated data scientist with hands-on experience in machine learning, NLP, and Generative AI,including LLM-based document intelligence and automation solutions. Proven ability to build end-to-end AI pipelines using Python, OCR, NLP, and transformers. Seeking to contribute data-driven and GenAI solutions in a fast-paced, growth-oriented organization
Location
Education
Work & Experience
Collaborated and Developed AI and GenAI solutions for data extraction, text summarization, and information processing from unstructured data sources. Contributed to end-to-end AI workflows integrating OCR, NLP, and Large Language Models (LLMs) to convert raw data into structured, analysis-ready formats. Applied Generative AI techniques to automate content summarization, semantic understanding, and key information extraction. Designed modular and scalable AI applications with Python, ensuring efficient workflow automation and data processing across multiple domains.
Analyzed complex, large-scale datasets using SQL and Python, uncovering key trends and patterns that enhanced data-driven decision-making. Developed and presented data visualizations using multiple tools and libraries. Collaborated on multiple in-house projects where I used machine learning and Deep Learning for Model Building and Deployment.
