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Schedule Interview NowMy name is Dasari N. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Data Analysis, Artificial Neural Network, Convolutional Neural Network, etc.. I hold a degree in Master of Science (MS), Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Groundwater Quality Prediction using Machine Leaning, Human Activity Recognition Using Machine Learning, Advanced Predictive and Statistical Analysis of the IDS2018, Electronic Component Classification on PCBs Using Deep Learning, VAQ: Applying CNNs to COCO Images with Deep Learning, etc.. I am based in Vijayawada, India. I've successfully completed 15 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
4 years
3 Years
1 Year
1 Year
Potentially possible
Research Associate
Project Description: This project aims to forecast groundwater quality by developing predictive models using historical and environmental data. The goal is to provide actionable insights for water man
Project Description: The "Human Activity Recognition Using Machine Learning" project develops a system to accurately classify human activities from sensor data. Using machine learning algorithms, it a
Project Description: This project enhances intrusion detection systems by analyzing the IDS 2018 dataset. Using predictive modeling and statistical techniques, it aims to identify network traffic patt
Project Description This project focuses on classifying electronic components on PCB using traditional deep learning methods. The aim is to develop and apply deep learning models to accurately identif
Project Description This project uses Convolutional Neural Networks (CNNs) to analyze and classify diverse images from the COCO dataset, aiming to improve object detection, segmentation, and classific
Master of Science (MS) in Data Science, Bioinformatics
2021-01-01-2024-01-01
Bachelor of Technology (BTech) in Electronics and Communication Engineeing
2016-01-01-2020-01-01