PRIYA YADAV

Professional Summary

I am a Data Science enthusiast seeking to upgrade

my skills from database administration. I like the challenges to find insights and play around with

data.

Mobile:

995-***-****

Email:

adfdb3@r.postjobfree.com

Github:

https://github.com/Priya1705

LinkedIn:

www.linkedin.com/in/yadav-priya

Address:

655G/433 Vasundhara Vihar

Colony, Adil Nagar, Lucknow

Skills

Programming Languages : C++,

Java, Python

Web Technologies : HTML, CSS,

JavaScript

Databases : MySQL, Pl-Sql, Oracle

Database Administration

Applications : Oracle EBS

Machine Learning, Neural Network,

Sentiment Analysis, Textblob,

Softmax activation, Tensorflow

Data Science, Data cleansing,

normalizing, modeling, mining

Shell Scripting : Linux, Unix

Mathematical Tools : Statistical

Analysis, Algebra, Probability

Certificates

- Machine Learning Course by

Andrew Ng from Coursera

- Oracle Workforce Development

Program Achievement Award for

Java

Work Experience

Tata Consultancy Services

June 2019 - Present

I have worked with TCS for 14 month as a Database Administrator for Indian Hotels Company Limited.

Industry Experience : Oracle Database Administrator Responsibility : ETL, Backups & Recovery, Troubleshooting and Automation, User authentication and Access, Performance Monitoring and Optimization. Successfully Completed the following tasks at Production Servers -

Patching event

Generic Data Fix

Backup and recovery

Deployments

Other Responsibilities : Multiple Team communication, coordination and management, have successfully adjusted and delivered ad hoc shift working for being in the mission critical project. Academic History

B.Tech - Computer Science and

Engineering JSS Academy of

Technical Education, Noida (2015-

2019)

High School - Delhi Public School

Lucknow (2012)

Intermediate - Delhi Public School

Lucknow (2014)

Projects

User-Bias Removal under Vivek Gupta Graduate Student, School of Computing, University of UTAH (on-going) using Regression Machine Learning project on Image Compression and Low- Dimensional Representation of Images or Faces

Sentiment Analysis onTwitter Data : Finding out the polarity of the tweets scraped using Twitter API and filtering the tweets containing specific words.

Human Activity Recognition : Classification model that can precisely identify human fitness captured through smartphone enabled with inertial sensors activities

Boston Housing : Predicting prices of houses using Regression with backward elimination and outlier detection,

Movie Recommendation System : Recommendation System using content based approach using correlation.

Tools : SVM, K-Means

Tools : Twitter API, Tweepy OAuthHandler, Textblob Tools : Neural Network using Keras and softmax activation function Tools : Numpy, Pandas, Matplotlib, Sklearn, Linear Regression. Tools : Numpy, Pandas, Sklearn, OnehotEncoder

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