Python Data

Bhargava Ranga

+1-216-***-**** • *****.**********@*****.***

PROFESSIONAL SUMMARY

Passionate and motivated Computer science graduate with a year of corporate experience and done internship on python. Looking for an opportunity to work in a challenging position combing my skills in Software engineering, which provides professional development, interesting experiences and personal growth.

CORE QUALIFICATIONS

•Programming languages: Python, C, Shell Scripting, Java

•Web Technologies: HTML, CSS, Java script, Django

•Operating systems: Windows, Linux and Mac

•RDBMS: MySQL, MongoDB, PostgreSQL

•IDE’s: PyCharm, Idle, Eclipse

•RCT: GIT

EXPERIENCE

Python Developer Intern - Info crunch Analytics private ltd, Hyderabad, India. 05/2013 to 05/2016

•Good experience as a Python Backend Developer.

•Analysis and Design of application.

•Having experience in both the versions of Python 2 and Python 3

•Familiar with Pandas, NumPy, Matplotlib.

•Created databases using MySQL, wrote several queries to extract data from database.

•Django Framework was used in developing web applications.

•Worked on HTML/HTML5 and CSS/CSS3

•Good experience in working with various Python IDE like PyCharm, Jupyter Notebook.

CERTIFICATIONS

•Python for Data Science

IBM Cognitive Class

•Data Analysis with Python

IBM Cognitive Class

•Machine Learning with Python

IBM Cognitive Class

EDUCATION

Cleveland State University (CSU), Cleveland, OH

Master of Science in Computer and information science May 2018

Jawaharlal Nehru Technological University, Hyderabad, INDIA

Bachelor of Science in Computer Science May 2016

ACADEMIC PROJECTS

•Open Weather Map

Python base multi-threading application that can download the climate figure from open weather map and store the data in a document from in a NoSQL database (MongoDB). It will print the alerts for freezing temperature, display graph of forecast for each city and shows weather temperature map layer on browser.

•Twitter sentiment analysis

Predicting the sentiment analysis with the polarity of tweets using Tweepy and Text blob, whether the tweet is negative, positive or neutral.

•Save earth from quake

Aim is to predict Earthquake using machine learning models.

Techniques: Logistic Regression, SVM, Decision Trees, Random Forest.

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