Professional Overview
I am an aspiring Data Analyst and AI Engineer with a strong foundation in Python, Machine Learning, and Data Analytics. I have hands-on experience working with real-world datasets, including IPL data analysis and air quality projects, where I performed data cleaning, visualization, and built predictive models.I have completed internship experience where I applied analytical thinking and problem-solving skills to deliver actionable insights. My technical skills include Python, Pandas, NumPy, Matplotlib, and basic machine learning techniques.I am passionate about leveraging AI and data-driven solutions to solve real-world problems and continuously improving my skills in areas like deep learning and generative AI. I am eager to contribute to innovative teams and grow as a professional in the AI domain.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
