Engineering Machine

YASHASHREE S +91-974*******

#**, *** ******, ********* ****************@*****.***

Bangalore-560054 www.linkedin.com/in/yashashree-suresh/ OBJECTIVE:

Seeking a challenging career that provides an opportunity to capitalize my technical skills and abilities to solve real life problems. SKILLS:

Languages Platform Development

Python, C++, C, Java, Flask Windows, Linux/Ubuntu Machine Learning, Deep Learning PROJECTS:

• Detection of epileptic seizure: Preictal stage of an epileptic seizure is detected by applying machine-learning techniques on real time EEG data obtained from Epilepsy Ecosystem. Generalized as well as patient specific models, both of which are immune to noise were developed.

• Psyched: An application for those who are suffering from psychological disorders. Sentiment analysis techniques are applied on the answers provided to various questions by the patients. Changes in a person’s state of mind over time are represented graphically through the relative anger, fear, happiness and depression levels.

• Hotel Overbooking: An application targeted at assisting the hotel management in determining the number of rooms to be overbooked and also provide the relevant analytics for the same.

• Assist: An application for visually impaired, which repeatedly captures images and provides the description of the image in the form of speech. Face recognition feature is also provided.

• Rash Driving Prediction: Machine Learning model to determine if a vehicle is being driven recklessly by measuring various parameters of the vehicle like speed, angular velocity, proximity, acceleration etc.

• Automatic Image Captioning using Deep Learning: An encoder-decoder architecture was used where a CNN was used as feature extraction sub model and LSTM was used as language model.

• Prison Database System: A web application to maintain the records of various prisoners, wardens, officers and assign tasks to prisoners based on the section under which the case has been registered.

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ACADEMIC DETAILS:

Course School/College Board/University Grade/Marks Class X B P Indian Public School, Bangalore ICSE 95% PUC Vidya Mandir Ind. PU College, Department of Pre-University 96.5% Bangalore Education, Karnataka

B.E. M.S. Ramaiah Institute Of Technology, Visvesvaraya Technological 9.83

(Semester 1-5) Bangalore University

Currently studying in third year of B.E. in Computer Science and Engineering (2016-20) at M.S. Ramaiah Institute of Technology, Bangalore.

HONORS AND AWARDS:

• Among the top three national toppers in NPTEL –

Programming in C++ course 2018.

• Among the top 7 teams in Galileo hackathon 2019.

• Among the top 20 teams in Intuit CodeWar hackathon 2019.

• Runner Up - Girls Code out. An inter-college

competitive coding contest by IEEE RIT-B in 2019.

• Winner - First Steps, coding contest at MSRIT.

• Runner Up - AAVISHKAAR coding contest by IEEE

RIT-B.

• Runner Up - Ignite coding contest 2018 at MSRIT.

• Runner Up - Ignite pattern recognition contest 2018 at MSRIT.

PUBLICATIONS:

M. Varsha, S. Yashashree, Drishya K. Ramdas, Sini Anna Alex. “A Review of Existing Approaches to Increase the Computational Speed of the Python Language”. International Journal of Research in Engineering, Science and Management. April-2019. PARTICIPATIONS:

• Core member of CodeRIT, the competitive coding club of MSRIT.

• IEEE student member 2016-2018.

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