Rutuja Mahajan

**** ********* ****** #***, ********, Ohio 45324. 937-***-**** adcopf@r.postjobfree.com Homepage: https://rutujamahajan05.github.io

LinkedIn: https://www.linkedin.com/in/rutuja-mahajan-16a7ba7b/ EDUCATION

MASTER OF SCIENCE IN COMPUTER ENGINEERING DECEMBER 2019 WRIGHT STATE UNIVERSITY, DAYTON, OHIO

· Expertise: Data Science · Minor: Statistical Analysis · GPA: 3.86

· Related coursework: Machine Learning, Soft Computing, Empirical Analysis in Literature Review, Distributed Computing, Advanced Computer Networks, Embedded Systems. BACHELOR OF ENGINEERING IN INFORMATION TECHNOLOGY MAY 2015 G. H. RAISONI COLLEGE OF ENGINEERING, NAGPUR, MAHARASHTRA

· Minor: Marketing Management · GPA: 3.65

· Related coursework: Data Structure, Database Management System, Theory of Computation, Language Processor, Graph Theory and Computation, Engineering Mechanics, Engineering Economics and Industrial Management, Economic Engineering in Marketing Management, Human Computer Interaction, TCP-IP. TECHNICAL SKILLS

· Programming Languages: R, Python, C, C++, PHP, HTML, embedded C, Verilog.

· Frameworks: RStudio, Spyder (Python 3.5), Microsoft Azure, Weka, Alteryx, SPSS, Google Cloud Platform, Alteryx, Tableau, Hadoop HDFS, MySQL, Amazon Web Services, Apache Spark.

· Data Processing Tools: Latex, Microsoft Office, Kutools.

· Key Skills: Advanced Machine Learning, Data Visualization, Text Analysis, Sentiment Analysis, Data Manipulation, Data Analysis, Feature modeling, Statistical techniques, Hypothesis testing, A/B testing, Neural Networks, Self- Organizing Maps.

CERTIFICATIONS

Java

Machine Learning with Python and R (Udemy)

Deep Learning (Udemy)

Advanced Networking

Statistics with R (Udemy)

Artificial Intelligence (Udemy)

Reverse Engineering (Udemy)

NLP and Text Mining (Udemy)

Computer Vision (Udemy)

RELEVANT EXPERIENCE

GRADUATE RESEARCH ASSISTANT DATA SCIENCE FOR HEALTHCARE LABORATORY SEPTEMBER 2018 – DECEMBER 2019

ANALYZING PUBLIC VIEW TOWARDS VACCINATION USING TWITTER (MASTER’S THESIS)

· Platform: R, Kutools Plus, Tableau.

· Techniques: Data Mining, Text Analysis, Vector Space Modeling, Latent Dirichlet Allocation, Sentiment Analysis, Latent Semantic Analysis, N-grams generator, Regression Algorithms, Support Vector Machine, Neural Networks, Gradient Boosting Tree, MANOVA, MySQL.

· Harvested over 8 million tweets streamed on twitter for a year using API’s to analyze public behavior on vaccine.

· Presented a framework of 2-stage classifier to identify relevant tweets and categorize as public outlook.

· Extracted emotions and sentiments as features along with n-grams for supervised machine learning algorithms.

· Analyzed emotions elicited through the time using Multivariate analysis of variance

· Presented study at The College of Science and Mathematics Festival of Research, WSU 2019

· Published link: https://etd.ohiolink.edu/pg_10?::NO:10:P10_ETD_SUBID:183641s Page 2

MACHINE LEARNING TECHNIQUES TO PREDICT MILD COGNITIVE IMPAIREMENT USING DATA FROM A WERABLE SENSOR DEVICE

· Platform: Spyder, Microsoft excel.

· Techniques: Convolution Neural Networks, Support Vector Regression, Grid search, Pooling, Softmax.

· Gathered data from elderly participants using Hexoskin vest with sensors measuring heart rate, breathing rate, acceleration and cadence while performing a short physical performance battery walk.

· Applied support vector regression and convolution neural network to predict and determine existence of cognitive impairment in participants.

· Tuned hyperparameters using batch normalization layer and dropout rate layer to improve generalization power of neural network.

RESEARCH ASSISTANT DATA SCIENCE FOR EDUCATION LABORATORY APRIL 2017 – AUGUST 2018 MEASURING SCIENCE TEACHERS’ EMOTIONS AROUND EVOLUTION WITH REAL WORLD SCENARIOS

· Platform: SPSS, R, Weka.

· Techniques: Imputation, Exploratory Factor Analysis, Principal Component Analysis, Decision Trees, Rasch, Clustering, Data Visualization.

· Developed an instrumentation to measure teachers’ emotional experiences around evolution: Evolution Emotion Assessment with Real-World Scenarios (E-EARS).

· Created a survey containing 4 pro-evolution and 8 anti-evolution scenarios from real-world occurrences for High School Science teachers.

· Annotated the response on survey on a 5-point ordinal scale for the seven emotions and were validated using Rasch partial credit model.

· Derived three clusters of teachers’: Pro-evolution, Anti-evolution and Regret over Anti-evolution events based on unsupervised machine learning techniques.

· Presented study at Symposium of Student Research, Scholarship and Creative Activities, WSU 2018

· Presented study at The College of Science and Mathematics Festival of Research, WSU 2018 SALES FORECASTING

· Platform: R, Python, Weka

· Techniques: Entropy gain, Feature engineering, Forecasting, Linear Regression, Random Forest, Gradient Boosting Regression, ANOVA, Sequential Sum of Squares, Marginal Sum of Squares, scikit-learn.

· Predicted the sales for stores while acquiring data from Kaggle with 1 million entries of business-related features.

· Employed data preprocessing techniques and data exploratory analysis to identify relationship between features.

· Tested assumptions of regression while applying feature selection methods to identify significant features. ADDITIONAL EXPERIENCE

· Graduate Teaching Assistant for Digital System Design Wright State University August 2018 – December 2019

· Peer Mentor Wright State University May 2017 – December 2017

· Discovery Instructor for Physics and Computer Aided Programs Wright State University May 2017- July 2017 PUBLICATIONS

· Mahajan, R., Romine., W., Miller., M., & Banerjee., T. (2019). Analyzing Public View towards Vaccination using Twitter. Proceeding from the IEEE International Conference on Big Data (IEEE Big Data 2019). Los Angeles, CA. PRESENTATIONS

· Romine, W., Mahajan, R., & Todd, A. (September 2018). Measuring science teachers’ emotions around evolution using real-world scenarios. Presentation at the Three Rivers Evolution Event (TREE), University of Pittsburgh.

· Romine, W., Mahajan, R., & Todd, A. (March 2019). Measuring science teachers’ emotions around evolution using real-world scenarios. Presentation at the NARST 2019 Conference.

· Mahajan, R., Tarvekar, M., Rokde, S. (October 2014). Implementation of Android Application for Search Missions, Presentation at National Conference on Recent Trends in Information Technology. ACCOMPLISHMENTS

· Graduate Excellence Award for Master’s in Computer Science and Engineering (2019)

· Catherine Queener Award for Outstanding Collaboration (2018)

· Recipient of 3 gold medals for outstanding student performance for three consecutive years (2013, 2014, 2015)

Contact this candidate