
Analytical professional with a background in data analytics. Gained hands-on experience during an internship, focusing on utilizing statistical tools to analyze large datasets and interpret results. Strong in critical thinking, problem-solving, and communicating complex information effectively. Made significant contributions in previous role by improving data quality and efficiency of reporting processes.
App development
Developed an integrated platform that connects shelter homes with donors, streamlining the donation process. The application enables shelter homes to post requests for resources and allows donors to create and manage pledges. Facilitated efficient communication between social organizations and supporters, enhancing visibility of needs and simplifying the donation workflow. Empower shelters to reach a wider donor base while offering donors a user-friendly way to support local causes
Human posture corrector using IoT and machine
learning developed an IoT-based posture monitoring system using flex sensors and a convolutional neural network (CNN) to detect improper posture in real time Integrated a feedback mechanism that alerts users via pop-up messages when poor posture is detected, promoting ergonomic habits Combined sensor data processing with machine learning to improve accuracy and responsiveness
Analyzing Amazon Electronics Sales Data with Python
Conducted a comprehensive analysis of Amazon electronics sales data using Python and data science methodologies. Extracted insights into customer behavior, product performance, and sales trends to better understand market dynamics and support data-driven business strategies.
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