I am an enthusiastic Data Science & AI graduate with practical experience in developing predictive models, AI prototypes, and intelligent data-driven solutions. My expertise spans across Python, TensorFlow, scikit-learn, and data visualization, complemented by strong skills in exploratory data analysis, feature engineering, and model deployment. With a proven record of transforming raw datasets into actionable insights, I am passionate about designing scalable digital systems that solve real-world problems.
In addition to my technical background, I bring hands-on experience across industries such as healthcare, mobility, and business automation. From leading AI-driven projects and launching innovative platforms to collaborating in agile teams, I focus on delivering solutions that create measurable value. Fully eligible to work across software-related fields, I aim to contribute to future-ready organizations by combining technical expertise with creativity and impact-driven problem-solving.
Reduced booking errors by 40% through advanced recommendation algorithms, improving customer satisfaction and efficiency.
Enhanced road element identification accuracy by 30% using deep learning, improving safety in automated system
Enabled smooth doctor–patient communication via AI-driven chatbot, supporting better healthcare accessibility and outcomes.
Boosted pulmonary fibrosis forecast accuracy by 25%, aiding doctors in early detection and treatment planning.
