Sheikh Obada

I am an entry-level data scientist with hands-on trainee experience in data analysis and data science at Techma Zone. I hold a Bachelor of Science in Computer Science and have completed applied data science and Python certifications.

I have built a range of projects spanning machine learning, NLP, and generative AI, including fine-tuning LLaMA 2 with LoRA/QLoRA, multi-language invoice extraction using Gemini-Pro, and RAG-enabled chatbots using HuggingFace.

I focus on practical model development, prompt engineering, and deployment workflows using tools like LangChain, HuggingFace, Groq, and cloud ML services. I combine statistical foundations with applied experimentation to produce actionable insights and production-ready models.

I am motivated by solving real-world problems through AI and data storytelling, and I bring a collaborative, learning-oriented approach to teams that value innovation, model quality, and measurable impact.