I am a dedicated professional with a strong foundation in data science, Python programming, and machine learning, currently seeking opportunities in the data analytics field. I hold a Master of Engineering in Electrical Engineering with a specialization in AI and Machine Learning, which has equipped me with both theoretical knowledge and practical skills in AI technologies.
Throughout my education, I have successfully applied my expertise in machine learning and data analytics to multiple projects. For instance, I developed an image classification algorithm for face anti-spoofing using deep convolutional neural networks (CNNs) and transfer learning techniques. This project not only resulted in a classification accuracy of 99% but also sharpened my technical skills in TensorFlow, PyTorch, and OpenCV, and deepened my understanding of model training and dataset management. In my role as a Data Scientist at Altair, I specialized in developing and fine-tuning LLM-based applications, utilizing frameworks like Hugging Face and LangChain. I also worked extensively with vector databases to optimize data retrieval for applications such as a high-performance conversational chatbot built using the Retrieval Augmented Generation (RAG) method. These experiences have refined my skills in prompt engineering, vector databases, and the use of both proprietary and open-source LLM models. I am highly skilled in teamwork, communication, and stakeholder engagement, consistently delivering clear, effective presentations and aligning project goals to ensure success. I am passionate about leveraging my skills in data analytics and machine learning to drive business growth and innovation, and I am eager to bring my expertise to a dynamic and forward-thinking team.