Jyothi Pranavi Devineni

Bloomington, IN *****

ac5yen@r.postjobfree.com 812-***-**** github.com/jyodevin linkedin.com/in/jyothipranavidevineni/

DATA SCIENCE PROFESSIONAL SUMMARY

Over two years’ experience with programming languages including C, Python, and R

Over two years of experience in data science, cleaning, analyzing, visualizing and drawing insights from data by implementing different supervised and un-supervised machine learning algorithms using statistical packages in R and Python such as Scikit-learn, Numpy, Pandas, NLTK, GGPlot, Matplotlib, etc

Over 10 months experience training and leading others in Python programming skills

Extensive graduate level training in data science, including coursework in data mining, statistics, information visualization, big data analytics, machine learning, artificial intelligence, social media mining, categorical data analysis and algorithms

PROFESSIONAL EXPERIENCE

Indiana University – Bloomington, IN, USA August 2017- May 2018

Associate Instructor

Assisted professor in teaching and clarifying student’s doubts, take attendance and maintain in-class activity score in a class containing 60 students

Conducted weekly labs for 25 students and provided them with hands-on experience with Python, which has shown a 30% increase in their scores

PROJECTS

House Price Prediction R (Linear Regression, Random Forests) Fall 2016

Predicted sales price of 1459 houses based on housing features and market trends. Implemented random forest and linear regression techniques for feature selection and prediction and obtained an accuracy of 91%

Text Analysis on Twitter Data Python (Scikit – learn, Pandas, Numpy, Matplotlib) Fall 2017

Performed text classification on twitter data to classify the tweets belonging to android and iOS users. Modelled and compared different machine learning classifiers and found logistic regression to be the best giving an accuracy of 91%. Extracted the keywords leading to the popularity of a tweet and determined the polarity of the keywords (positive or negative)

Predicting Sperm Fertility R (General Linear Models) Spring 2017

Predicted the fertility of human sperm to be normal or altered based on various influencing parameters with an accuracy of 86%. Fitted logistic models with interactions between various attributes in the data to find the best fit for the data using AIC and G2 value

Solving Parity Problem using Multi-Layer Neural Network R Spring 2017

Designed a Multi-Layer Neural Network to learn to solve the parity problem in less than 5000 epochs using back propagation algorithm in R and achieved an error as low as 0.05

Parts of Speech Tagging Python Fall 2017

Labelled about 2000 sentences containing 29442 words with appropriate parts of speech using forward-backward and viterbi algorithms and achieved an accuracy of 95%

EDUCATION

Indiana University, Bloomington, IN May 2018

Master of Science in Data Science (GPA: 3.7/4.0)

Bhoj Reddy Engineering College, Hyderabad, and Telangana, India May 2016

Bachelor of Technology in Electronics and Communication Engineering (GPA: 3.5/4.0)

TECHNICAL SKILLS

Programming Languages and Statistical Tools: R, Python (Scikit-Learn, Pandas, Numpy, Matplotlib,, Tkinter, NLTK), GitHub, MATLAB

Big Data, Database & Visualization: Hadoop, MapReduce, Spark, Scala, Flume, HBase, Sqoop, Pig, Hive, SQL,SSIS, Tableau

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