VAISHNAVI SHRIRAM KHAWALE

D-*** wellworth paradise, pancard club road, Baner,Pune

Email ID: admgc2@r.postjobfree.com

Phone: +91-928*******

Objective:

Seeking a responsible place in an organization, which gives a chance to improve the knowledge, enhance the skills and enables to strive towards the overall development of the organization.

Highlight:

• Experience in application development using C,Python.

• Good analytical and problem solving skill.

• Sound knowledge of Operating system internal.

• Skilled mass communicator.

Education Qualification:

Standard Institute Board/university percentage class BE AISSMSCOE SSPU 72% Distinction

HSC Mahila

mahavidhyalaya

Maharashtra 66% First class

SSC Holy Cross Maharashtra 84% Distinction

TECHNICAL SKILLS

• Programming Languages:

Procedural Language: C Programming

Object Oriented Programming: C++ Programming, Python Programming Python: Python 3.0

Python Libraries : Numpy, SciPy, Scikit-Learn, TensorFlow, Pandas IDE & Tool: Visual studio Code

Database: SQL(oracle), MySQL

Web Technologies: HTML/HTML5, CSS2/CSS3, JavaScript Operating System: Windows NT

Methodologies: Agile, Waterfall

Technical Project:

Virtual File System

Technology: C programming

• This Project provide all the functionality to the user which is same as Linux File system.

• It provide necessary command, system calls implementation of file system through customised shell.

• In this project we implement all necessary data structure of file system like Incore Inode Table,file Table,UAREA, User File Descriptor table. TEXT TO SPEECH SYNTHESIS IN CELEBRITY’s VOICE

Technology: Artificial Intelligence

• This project is proposed for Text to speech synthesis, neural network architecture for speech synthesis directly from text in celebrity’s voice.

• The system is composed of a recurrent sequence-to-sequence feature prediction that maps character embeddings to mel-scale spectrograms, followed by a modified WaveNet model acting as a Vocoder to synthesize time-domain waveforms from those spectrograms.

Naval Mine Detector

Technology : Deep Learning with Neural network using Python

• Mine detection and classification using side scan sonar imagery is a challenging problem.

• As opposed to the majority of techniques, several Neural-network-based methods for the detection and classification of mines and mine like objects have been proposed.

• Detection and classification of underwater objects in sonar imagery is a complicated problem, due to various factors such as variations in operating and environmental conditions, presence of spatially varying clutter, variations in target shapes, compositions and orientation.

• By using the concept of Deep learning with Neural network we predict whether object is Mine or not.

Technical Highlight:

• Knowledge of application development using C

• Knowledge of development using Python

• Knowledge of SQL for Data Science

PERSONAL INFORMATION

Date of Birth: 10/06/1996

Marital Status: Single

Nationality: INDIAN

Known Languages: English, Hindi, Marathi

The above mentioned information is authentic to the best of my knowledge Vaishnavi Shriram Khawale

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