Data Entry Operator with Tech Focus
Resume:
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A highly motivated and detail-oriented graduate with a
strong academic background in finance, accounting, and business management. Possess a solid understanding of banking principles financial markets, and customer service practices. Known for strong analytical skills, a high level of accuracy, and a commitment to maintaining confidentiality and integrity, Eager to launch a
professional career in the banking industry where I can apply my knowledge and grow within a dynamic
organization..
Skills
About Me
C++
CSS
HDML
Python
English
Tamil
Language
ALWIN AROCKIA RAJ S
BACHELOR OF COMPUTER APPLICATION
Education
HSC
GTN Arts college (Autonomous)
RC Higher secondary school
Graduated with a Score 75%
Complete With a Score 72%
Dindigul.
Micheal Palayam.
RC Higher secondary school
Complete With a Score 54%
SSLC
Micheal Palayam, Dindigul.
******************@*****.*** Micheal Palayam.
BCA(2022-2025)
(2021)
(2019)
PROJECTS
LEAF DISEASE DETECTION USING VGG19 (DEEP LEARNING) Tools & Technologies: Python, TensorFlow, Keras, OpenCV, Django. Developed a leaf disease detection system using the VGG19 deep learning architecture, aimed at enhancing the speed and accuracy of plant disease diagnosis in agriculture. The project involved collecting and preprocessing leaf images, training the VOG19 model on labeled datasets and achieving an accuracy of approximately 95% Key functionality included image acquisition, normalization, data augmentation, and model optimization using TensorFlow and Keras The model successfully classified diseases across three plant categories and delivered reliable predictions in real-time. The system was deployed through a Django-based web application for seamless user interaction, allowing farmers or users to upload Images and receive instant disease classifications with treatment suggestions This solution reduces the need for expert manual inspection, making disease detection more scalable and efficient. The project's goal was to empower farmers with an Al-based tool for early identification and control of infectious plant diseases, ultimately minimizing crop losses and increasing agricultural productivity.
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