Sarath Chandran P

SARATH CHANDRAN P CONTACT Address: Safalya, Punnapra North P.O., Alappuzha, Kerala, India – 688014 Phone:- Email:- SOFTWARE PROFICIENCY Languages: C, C++, Python Database: MySQL Operating Systems: WINDOWS 10 / XP , Ubuntu Linux Productivity Tools : Microsoft Office 2013 ( Word / Excel / PowerPoint ) Web Designing: HTML,CSS PERSONAL SKILLS  OBJECTIVE Aiming to work for a dynamic and value driven organisation which has opportunities, challenges and environment for extensive learning and skill enhancement. ORGANIZATIONAL SKILLS Volunteered in project exhibition conducted at Rajagiri School of Engineering & Technology in July 2016 EDUCATIONAL QUALIFICATION DEGREE NAME OF INSTITUTE UNIVERSITY CGPA /% M.Tech (Network Engineering) Rajagiri School Of Engineering And Technology KTU 8.02 B. Tech (Information Technology) Rajagiri School Of Engineering And Technology MGU 7.20 Class XII Chinmaya Vidyalaya CBSE 74.6% Class X Chinmaya Vidyalaya CBSE 8.6 Adaptability and ability to work under pressure  Hard working & Responsible  Possess good analytical skills PERSONAL INFORMATION PROJECT DETAILS M.Tech Major-Project : Facial Expression Analysis For Abnormal Behavior Detection The main idea i propose here is an abnormal behaviour detection and alert  Date of Birth : 16/06/1995  Language Skills : English, Hindi, Malayalam generation system using facial expressions. The initial step i did in facial expression analysis is to identify and detect human face. After detecting the face, the emotional state of the person is analysed. This analysis is done by creating a model using a convolutional neural network. Through this analysis an abnormal behaviour can be identified and an alert is send using SMTP to the corresponding authorities so that it can be useful for them in case if any incidents happen. B.Tech Major-Project : Extracting Association Rules from Medical Transcriptions This work was aimed at extracting useful and relevant information from transcripts of medical transcriptions.Transcriptions undergo a series of preprocessing using NLP Techniques. A dataset of semi-structured medical transcripts were selected for the study. Medical terms : disease, symptom and medicine are extracted from the processed documents and are stored in a csv file. This csv file is the input to the data mining phase. In data mining phase, Weka toolkit is used to generate frequent item sets using support and confidence. EXPERIENCE  Worked as an Intern At Adfolks LLC , Kochi For 7 Months In Microsoft Azure Sentinel. PAPER PUBLICATION  Presented a paper entitled Facial Emotion Recognition System for unusual Behaviour Identification and Alert Generation in the 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2020) Springer. ACHIEVEMENTS  Member of the team that won first place in Azure Sentinel Hackathon 2020 EXTRA CURRICULAR ACTIVITIES     Team member for inter-school football tournament YouTuber Successfully completed Microsoft Azure Security (AZ-500) Course in Whizlabs. Successfully completed Microsoft Azure Administrator (AZ-104) Course in Whizlabs. DECLARATION I hereby declare that the above information is correct to the best of my knowledge and belief. Dated: 15/09/2020 Sarath Chandran P Place: Alappuzha, Kerala