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Data Python

Location:
Vasant Nagar, Karnataka, India
Posted:
November 24, 2019

Contact this candidate

Resume:

Uppu Sai Roshini

Email Id: *************@*****.***

Contact.No:(91-817*******

Career Objective

To be a part of a team which strives for the growth of the organisation and which explores my existing skills and provides me with an opportunity to enhance my talent.

Technical Skills

Python,R Studio

Machine Learning

Data Visualization,Data Cleaning

Deep Learning,NLP

Tensorflow

Full Stack development

C,Java

Projects:

1)Spam and Ham detection in Emails

Data is collected from Emails and that is loaded into Jupter notebook using pandas, then data is visualized using matplot and seaborn libraries, scikit learn algorithm MultinominalNB to detect spam and ham messages from the data set.

2)Housing Prices

Data is collected and imported into jupyter notebook using pandas libraries, for visualising data matplot and seaborn libraries are used, from scikit learn Linear Regression is imported. In this project future prices of houses are predicted.

3)Classifying Pixels

Pixels are classified using RandomForest algorithm imported from sciki learn,data is imported and cleaned using pandas libraries, for visualising data matplot and seaborn libraries are used.

Project Trainee(Intern)

E-Complaints

This is a web page used to send complaints and issues to the administrator in the organisation.

Software : Sublimetext3 Editor

Languages : HTML, CSS, JavaScript, NodeJS

Database : MongoDB

Academic Project

SoET, INTRANET STUDENT LOGIN2

This is web page for college, where students and faculty communicate through a web

page, students login through login page, then get all the information posted by the faculty.

Certificates

Data Science certification from IBM.

Python and R certifications from IBM.

Python with Machine Learning certification from IBM.

Data Visualisation certification from IBM.

Full Stack Development certification from Study Owl.

UI Development summer training program certification from APSSDC.

Education Details

SSC from Little Flower English Medium School with 9.8 CGPA

Intermediate from Sri Gayatri Jr.college with 94.3%

B.tech from Sri Padmavathi Mahila Visvavidyalayam with 73.1%

Place:Bangalore

Date:



Contact this candidate