Data Software Engineer

Prathama V

*** **** * ***** **** yelahanka satellite town

Bengaluru, Karnataka, 560064

+91-805*******

*************@*****.***

Summary

Education

Employment History

Professional Skills

Academics Projects

To become a successful professional and to work in an innovative & competitive world willing to work as a key player in challenging and creative environment.

BMSIT

Master of Technology(Computer Science and Engineering) Bengaluru, Karnataka

Graduated July 2019

78%

Akshaya Institute of Technology

Bachelor of Engineering(Computer Science and Engineering) Tumakuru, Karnataka

Graduated June 2015

68%

Siemens Technology And Services Private Limited

Software Engineer through Teamlease

July 2019 - Present

Siemens Technology And Services Private Limited

Project intern

July 2018 - June 2019

Data Science and Artificial Intelligence

Machine Learning, Data Analytics

Deep Learning, Natural language processing

Basic of C, Python

Smart cradle (IOT based), mini project as part of M.Tech Curriculum . This project uses WiFi access point as its core element along with micro controller to notify the caretaker/ parent about the baby’s status. Age-invariant face recognition using convolution neural network. From this project recognize same person with his different age by training his different age photos by deep learning model. Mini project on Graphical Implementations of operation on 3D objects. Main project on Secure Password-less Authentication Mechanism in Cloud. Professional projects

Technical skills

Tools

Personal details

Text Summarization - Converting scanned pdf file editable file and extract the text and tables from scanned file. Knowledge of different OCR for text summarization project (tessaract OCR, asprise OCR). Data Anaytics- POC(proof of concept) for future outcome prediction from given data by analyzing data and applying diffrent techniques of machine learning model, time series model. Saving the Machine learning predicted result by converting given data into diffrent file like JSON, CSV, Dataframe for further use.

Find the Eroor rate from given data using diffrent regression model and time series model Machine Learning: Data pre-processing- recognition of missing data, categorical data, feature scaling. Regression- Linear regression, Multiple regression, Polynomial regression, Decision tree regression, Random forest regression, the techniques to evaluating of different regression model. Classification model-K-nearest neighbors, support vector machine, Decision tree classification,Naïve bayes classification model. Clustering – K means clustering, Priciple compounf analysis. Basic knowledge Natural Language processing.

Deep learning – convolution neural network(RELU, Pooling, Flattening, fully connected networks) Data analytics: able to pre process the data, applying different transformation methods to the data,able to work with different model like Time series model, regression model(Lasso, Ridge), ARIMA, Auto ARIMA, SRIMAX. Python :Knowledge of python to build machine learning model, deep learning model and data analytics. Anaconda software(spyder,jupyter)

numpy

pandas

tensorflow

sklearn

keras

Date of Birth : 10th November,1993

Gender : Female

Marital Status : Married

Nationality : Indian

Languages Known : English,Kannada, Hindi and Marati Hobbies : Reading books, Listening Music, Watching T.V Father’s Name : Mr Vasantha DM

LinkedIn profile : https://www.linkedin.com/in/prathama-v-359722101

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