Experience

Leap Scholar

• India
• Education Administration Programs
• 300 - 400 Employee

• Application Advisor

  • Mar 2022 - Present

• People and Culture

  • Aug 2022 - Jan 2023



GVOC

• Hyderabad, Telangana, India

• Manager, Digital Marketing, Full Stack Developer

  • Feb 2020 - Feb 2022

  Link for the website - https://globalvisionoverseas.com/ Link for the website - https://globalvisionoverseas.com/



Hermes

• Truck Transportation
• 700 & Above Employee

• Full-stack Developer

  • Apr 2019 - Jan 2020



Listungsgesellschaft Haus & Grund

• Magdeburg

• Information Technology Specialist

  • Nov 2018 - Mar 2019



Arvato Systems

• Germany
• IT Services and IT Consulting
• 700 & Above Employee

• Full-stack Developer

  • Aug 2017 - Oct 2018



Otto-von-Guericke University Magdeburg

• Germany
• Government Administration
• 700 & Above Employee

• Masters Project

  • May 2017 - Jul 2017

  Android app for Activity Monitoring.- Analyzing and designing the workflow.- Java implementation on Android studio.- Testing based on a black box and white box methods.- Weekly blog update and issue-resolving on Gibtub.- Version controlling on Github.Software: Java, XML, emulator and Android Studio.

• Masters Project

  • Dec 2016 - Jul 2017

  Evaluation of K-Means Clustering and Decision Tree for Intrusion Detection on the NSL-KDD dataset.-To simulate an efficient Intrusion Detection System (IDS) model, an enormous amount of data is required to train and test the model.-To improve the accuracy and efficiency of the model, it is essential to infer the statistical properties from the observable elements of the dataset.-Proposed some data preprocessing techniques such as filling the missing values, removing redundant samples, reduce the dimension, selecting the most relevant features and finally, normalize the samples.-After data preprocessing, we have simulated and tested the dataset by applying various data mining algorithms such as Decision Tree, K-Mean Clustering which provides a better result in less computational time.Software: Matlab, Azure studio and machine learning.

• Interdisciplinary Project

  • May 2016 - Nov 2016

  Evaluation of Neuro-Fuzzy based Intrusion Detection on KDD dataset.- Classification and clustering of the KDD dataset in Matlab.- Data normalization using the Azure machine learning technique.Software: Matlab, Azure studio and machine learning.



Saveetha University, Chennai

• India
• Higher Education
• 1 - 100 Employee

• Bachelor Thesis Project

  • Nov 2013 - Apr 2014

  A Novel Biometric authentication approach using Electrocardiogram Signals. - Android app for data Visualisation. - WBAN, Wireless body Sensors and Mobile Healthcare. - One of the most important emerging networks applicable in many fields is wireless body area networks (WBANS). - In this paper, we survey the wireless body area networks (WBANS) and their various applications in healthcare. - In this paper a concise survey consisting of the various sections mainly focusing on the paramount aspect of WBANS and its applications in medicine to reduce the need for caregivers and to help the elderly and chronically ill people live an independent life. Software: Eclipse, Android SDK, XML, Java.