Resume
CHALLA CHARAN KUMAR
Mobile No. : 918-***-****
Email ID : **************@*****.***
CAREER OBJECTIVE
Looking for an entry-level position as a Software Engineer in a dynamic firm that values my analytical and technical skills and provides scope for updating my knowledge. Ambitious and confident individual seeking to build my career in a MNC that will provide a chance to enhance my skills. I seek a company that will help me contribute to its development while concurrently aiding my personal growth. ACADEMICS
● B .Tech CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology CGPA: 8.0 2020-2024
● Intermediate naranaya junior college CGPA: 7.78 2018-2020.
● SSC Sri siva sai School CGPA: 8.5 2017-2018. TECHNICAL SKILLS
● Writing
● Project Management
● Time Management
Programming Languages:
• Python
• HTML,CSS
● COMMUNITY SERVICE PROJECT
Title: IOT-BASED UNOBTRUSIVE PHYSICAL ACTIVITY MONITORING SYSTEM FOR PREDICTING DEMENTIA
DESCRIPTION:Mental health-related disorders are common in elderly populations. Among the various mental health disorders, one most significant threat is dementia, prediction of dementia has become an important issue related to well-being in old age, because the disease progression of dementia can be slowed by early diagnosis and disease control. It is about to propose an unobtrusive dementia-prediction system for the monitoring physical activities of elderly persons either living alone or as a couple in different house structures, achieved through passive infrared (PIR) motion sensors combined with data processing. The proposed feature extraction algorithm extracts feature values related to physical activities from the simple passive infrared sensors located in each room space. And then apply a variety of common popular classification models to predict the risk of dementia in a sensor-enabled home. The implemented and validated algorithms on data collected for over a month from 18 participants who were engaged with a variety of living conditions. The proposed system was effective in predicting dementia risk, with up to an 0.99 area under the curve (AUC) using DNN with principal component analysis (PCA) and a quantile transformer scaler.
● Web Designing Using React javascript
● Amazon Web Services-Cloud Computing
● Name : CHALLA CHARAN KUMAR
● Father’s Name : CHALLA ANJANEYULU
● Mother’s Name : CHALLA SUPRIYA
● Date of Birth: 09-10-2003
● Permanent Address : 3-313 RAMAALAYAM STREET,OGURU
● Hobbies : Listening to Music, Reading books.
● Nationality : Indian
● Languages Known: Telugu, English, Hindi
I hereby declare that all the above-mentioned information is true and correct to the best of my knowledge. PROJECTS
Place : OGURU Signature/E-signature
CHALLA CHARAN
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