With a year of experience at Synechron in the data practice, expertise includes Python, machine learning, data visualization and certified in Databricks and Azure. Strong focus on data processing, ETL, and generating insights from complex datasets. A Master’s degree in Data Science further enhances advanced analytics skills. With 2 years previous experience in .NET development, including C#, ASP.NET, and SQL databases, strengthening technical versatility.
Project: ResolveAI (September2024)
Detecting Drowsiness in Drivers Using Deep Learning(MSc Data Science)
Developed a deep learning model in Python to detect driver drowsiness and issue voice alerts. The model analyzed facial cues associated with drowsiness using an optimized architecture. Data preprocessing and augmentation were employed on extensive image datasets, aiming to improve road safety.
Online Auction System using Visual studio(BSc Information Technology)
Designed a web platform allowing users to auction or bid on items. Utilized ASP.NET for web functionality and interface, with SQL for database management, including product listings and user details.