Python Data

RAVI TEJA JUJJURI

**** ****** *****, ***, ****, Ohio, 44240 ********@****.*** +1-234-***-****

SUMMARY:

A self-directed and rapid learning individual with two years of experience seeking to secure a career opportunity in a professional environment by leveraging analytical and developmental skills with relevant expertise, while making a significant contribution to the company.

EDUCATION:

Master of Science in Computer Science Jan 2019 - May 2020

Kent State University, Kent, OH

Related coursework: Database System Design and Management, Big Data Analytics, Data Mining, Probabilistic Data Management and Data Visualization.

Bachelor of Technology in Computer science June 2014 - May 2018

KL University, Guntur, Andhra Pradesh (AP), India

Related coursework: C, Object Oriented Programming, Data Structures, Computer Network Security, Web Programming, Software Engineering, Database Management Systems.

SKILLS:

Scripting : Python, Unix Shell Scripting.

Data Visualization Tools: Tableau, Python (matplotlib).

Database Languages and Tools: PostgreSQL, MySQL, MongoDB, RDS

Big Data and Cloud: Apache Spark (PySpark), A W S

Frameworks: Django, Flask

Python Libraries: Pandas, numpy, sklearn, scipy, BeautifulSoup

Programming and other Languages: Java, C, HTML, CSS, Javascript, XML, JSON, Git

WORK EXPERIENCE:

PYTHON DEVELOPER INTERN AM Designs Vijayawada, India Jan 2018 - Dec 2018

Extracted data from different sources like databases, API’s and web scraping using BeautifulSoup. Created Data Frames from multiple formats like Csv, Excel, Json, etc. using Pandas Lib.

Participated in all stages of Software Development Life Cycle like Planning, Analysis, Design, Implementation and Testing.

Developed entire frontend and backend modules using Python on Django Web Framework.

Setup database in AWS using RDS and configuring backups for S3 bucket.

Worked on Django API's for accessing the database objects.

Template Language and website interface are created by developing views, templates with Django View Controller

Cleaned and performed ETL tasks in python to drop null fields, joining fields, altering fields from the extracted data and loaded the transformed data into Amazon S3 buckets and PostgreSQL databases.

Understood the working of Apache Spark and its RDDs. Performed data cleaning tasks by creating data frames using spark sessions in PySpark. Efficiently written SQL queries to retrieve data from semi-structured databases with the help of SQLAlchemy Library.

Used Pandas API to put the data as time series and tabular format for east timestamp data manipulation and retrieval.

Took part in the entire lifecycle of the projects including Design, Development, and Deployment, Testing and Implementation and support.

WEB DEVELOPER INTERN Nik Studio Vijayawada, India Jan 2017 - Dec 2017

Involved in software development life cycle (SDLC) of tracking the requirements, gathering, analysis, detailed design, development, system testing and user acceptance testing.

Developed front-end webpages using HTML, CSS and JavaScript. Back-end was developed using Python and Django as its framework

Used Python Unit test library to test many programs on python and other codes.

Performed different testing methods like unit testing, Integration testing, web application testing and selenium testing.

Created Git repository and added to GitHub project.

Written complex SQL queries to fetch the required statistics from a repository database in different environments. Created triggers to help in automate transactions.

Used Python library Beautiful Soup for web Scrapping.

Experienced in Linux shell commands and command line utilities.

ACADEMIC PROJECTS:

Vulgarity Count and Sentimental Analysis on Twitter Streaming Data using Spark:

Sophisticated Python application designed to extract features like sentiment polarity, vulgarity ratio & opinion ratio from live tweets. Languages and tools: Python (hdfs3, NLTK, TextBlob, NumPy, PySpark, Matplotlib), Unix Shell Scripting, Anaconda Navigator.

Probabilistic Queries over uncertain data:

Used top-k query to find the nearest emergency service for the user and applied object level pruning to all the emergency services that are not within threshold. Languages and tools: Flask, Python, HTML, SQL.

Resume Library Django Application:

This app helps users to quickly upload their skills and resume so that recruiters can easily filter between different technologies as per their requirement. Built both front and back end of the application using python, Django and PostgreSQL.

Flask Blog Application:

A minimalist blog application created as part of my web development course. Front end was developed using HTML, CSS, Bootstrap and Javascript. Back end was developed using Flask and Mysql as its defined database.

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