At ZenoTalent, I contributed to data processing and model training to enhance user support through intelligent and empathetic AI solutions.
As a Data Analytics Intern at Imarticuas Learning, I gained hands-on experience with Python, SQL, exploratory data analysis, and data visualization using real-world datasets.
I built an end-to-end machine learning project covering data collection, preprocessing, feature engineering, training, and evaluation. I'm currently working on deploying the trained model to AWS for real-time predictions via a web endpoint.
My projects also include dashboards for accident analysis, HR analytics, and pizza sales, along with a recommendation system. I'm studying Computer Science and Engineering at Bennett University and have received Dean's List recognition.
