Control Room Health Informatics

Chandana Manaswini Lakkamaneni

480-***-**** *********.********@*****.*** linkedin github

EDUCATION

Master of Computer Science August2021 - 2023

Arizona State University, Tempe

Bachelor of Engineering in Computer Science (Topper) Cumulative GPA: 9.44/10 R.M.K Engineering College affiliated to Anna University August 2017 - June 2021 Chennai. (http://www.rmkec.ac.in/)

EXPERIENCE

Arizona State University August 2021-December 2021 Graduate Student Assistant

Internshala Student partner 22 April 2021- June 2021 During this period, I have promoted Internshala and its products successfully and showed genuine sincerity and willingness to learn while taking on new assignments and challenges. Synova Technologies Machine Learning intern Dec 2019 - Jan 2020 I have assisted in a real time project named “ Tackling plastic wastage” and have done the process of data acquisition and training the model.

RESEARCH WORK

Fake Review Detection System Jan 2021- June 2021

Paper has been accepted by committee members of IFERP and it is accepted for the purpose of publication in

“Turkish Online Journal of Qualitative Inquiry” which is a scopus indexed journal. Intelligent Systems to Predict and Diagnose Benign and Malignant skin Lesions Cited at https://rb.gy/dmgqts Nov2019 - Aug2020

Research was conducted on this project and a paper was published in IOS publishing house in Scopus Index. PROJECTS

Dynamic Human Authentication System Jan 2020 - May 2020 Dynamically recognising a person is highly challenging. If the person entering is already registered then it will allow them else it will generate an alarm signal to the control room. Intelligent Systems to Predict and Diagnose Benign and Malignant skin Lesions Nov 2019 - Aug2020 Intelligent Systems are basically used in health informatics. As Lesions are the major complications deep learning algorithms are used and can be predicted. Fake Review Detection System Jan 2021- June 2021

Fake reviews are being toxic to human life day by day. It was detected by using some of the concepts of Deep Learning that are convolutional neural networks.

SKILLS

Programming Languages: Java, Python, C, C++, SQL, .net, Javascript Frameworks: ReactJS, Angular, Bootstrap

Developer Platforms : Jupyter Notebook, Google Cloud Platform, Visual Studio, PyCharm, Eclipse Latest Trends : Machine Learning, Deep Learning, Big Data Platforms : Linux, Windows, Mac OS

EXTRA CURRICULARS

Head Coordinator of CYNAPSE 2020, symposium conducted by R.M.K Engineering College in March 2020. Active Member of CSI student chapter, Technical and Green club. Contributed as a Team leader and won several hackathons. Contributed as Joint Secretary for the computer science department for 2 years. Contributed as a Volunteer for Pledge A Smile Foundation in critical Pandemic.

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