

I am a passionate and dedicated individual exploring the fields of data science and machine learning. With experience in Python, C++, and C#, I enjoy working with libraries like NumPy, Pandas, and Matplotlib for data analysis, processing, and visualization. I am eager to develop creative and effective solutions to real-world problems using machine learning techniques.
Recently, I have also been working on projects involving Large Language Models (LLMs) and Roboflow, gaining hands-on experience in natural language processing and computer vision applications. These projects allowed me to dive deeper into AI model training, data annotation, and deployment workflows.
Learning new technologies, extracting meaningful insights from complex datasets, and turning them into actionable results are both my passion and motivation. I aim to continually improve myself, take on new projects, and advance my technical and personal skills in the process. With a strong curiosity for learning and problem-solving skills, I am ready to make an impact in the world of data science.
AI Intern – Bluesense AI (Smart Beauty Project)
Worked on the Smart Beauty project, an AI-powered skincare solution. Contributed to the development of a personalized recommendation system using computer vision and machine learning. Focused on analyzing skin texture from facial images to suggest suitable skincare products. Collaborated with a multidisciplinary team to preprocess image datasets, fine-tune models, and evaluate performance using real-world data.
Python
Numpy
Pandas
Seaborn
Matplotlib
C
C#
SQL
Machine Learning
MATLAB