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Data Scientist

Location:
Bloomington, Indiana, United States
Posted:
January 13, 2018

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Resume:

Jyothi Pranavi Devineni

ac30w5@r.postjobfree.com 812-***-**** 3230 John Hinkle Place, Condo #H, Bloomington, IN 47408

git : github.com/jyodevin LinkedIn : linkedin.com/in/jyothi-pranavi-devineni

DATA SCIENCE PROFESSIONAL SUMMARY

2+ years’ experience with programming languages including C, Python, and R

Significant exposure to statistical tools and techniques with 1+ years of experience using statistical packages in R and Python such as Scikit-learn, Numpy, Pandas, NLTK, GGPlot, Matplotlib, etc

5+ months professional 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

Actively seeking entry-level data scientist positions

PROFESSIONAL EXPERIENCE

Indiana University, Bloomington-Associate Instructor August 2017- May 2018

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

Conduct weekly labs for 25 students and giving them hands-on experience with python, which has shown a 30% increase in their scores.

Supervise 8 other assistant instructors for the class by assigning them grading groups and solving their issues.

Grade assignments and lab practical and give relevant feedback, which proved to help more than 30 students to polish their programming understanding.

ACADEMIC PROJECTS

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

Predicted the sales price of house based on housing features and market trends

Implemented Random Forest and linear regression techniques for feature selection and prediction (Ames housing data) and obtained an accuracy of 91%

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

Classified tweets belonging to Samsung or IPhone based on the content of the tweet using various classification methods and found that Logistic regression performed better than any other classifiers with an accuracy of 90%

Discovered top 100 keywords in a tweet that made a tweet popular and also which contributed to its polarity

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

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 with 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: C, Java, R, Python

Big Data: MapReduce, Hbase, Pig, Hive, Spark, Scala,

Sqoop, Flume

Data Visualization: Tableau, Sci2

Databases: SQL

Frameworks: Hadoop

IDE: Eclipse



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