Resume

1. Aniruddh Nathani
+91 9754198451 anathani@uw.edu linkedin.com/in/aniruddhnathani Seattle WA, 98105
Platforms Worked
Programming Skills: Python, SQL, Java, R, NLP, Android, PHP, HTML, CSS
Packages : NumPy, Pandas, Scikit-Learn, Matplotlib, Seaborn
Software Skills: SSMS, SSIS, Tableau, Netbeans, Android Studio, Firebase, Github, Jupyter, Microsoft-Excel, R-studio, MySQL,
Photoshop
Education
University of Washington, Seattle, WA
Master of Science in Information Management
Sept 2019- Jun 2021
Specialization – Data Science, Business Intelligence
Coursework (to be taken)- Data Science, Data Visualization, Machine Learning, Data Mining, Business Intelligence
Shri G.S. Institute of Technology and Science, Indore, India
Bachelor of Engineering in Information Technology( CGPA- 8.17/10)
Aug 2015- May 2019
Coursework- Software Engineering, Database Management System, Data Warehousing and Data Mining, Design and Analysis of
Algorithms, Computer Networking, Computer Architecture, Operating Systems
Work Experience
Xoriant Solutions Pvt. Ltd., Pune, India (Github) May 2018- June 2018
 Generated a Python script which could correct one-digit and two-digit errors in the given company data set, scanned incorrectly by
the Optical Reader and replaced them in a required Excel file using OpenPyxl in Python.
 Applied NLP, NLTK and Text Analytics for data cleaning, used Porter-Stemmer, eliminated Stop-Words and worked on Regex using
Python.
Technical Projects (All projects: Github)
“Intelligent Question Bank” Jan 2019 – Mar 2019
 Aimed at improving the subject knowledge of the students, the NL application focussed on their individual performance on a given
sample test.
 Developed Adaptive learning module using KPI indexing to record student’s performance and present next set of questions.
 Recommended modules provided content for improving performance on the tests.
 Worked on the MEAN stack Architecture and the Neural Network Algorithm.
“Towards Ensemble Methods for Predicting of Stock Movement using Google Trends Data” Feb 2018 - Sept 2018
 Analyzed stock prediction using different machine learning techniques by combining traditional Time Series Data, Technical
Indicators and Google Trends Data.
 Acquired data using API of Alpha-Vantage website for accrued technical indicators values using Python.
 Employed Bagging (RandomForest) & Boosting (AdaBoost Classifier) techniques for the Ensemble model.
 Predicted stock with an accuracy of 84% based on 7 parameters.
“Gender Prediction and Movie Reviews Classifiers” April 2018
 Developed Movie Reviews and Gender prediction applications using NaiveBayesClassifier.
 Tested and Trained datasets obtained from the NLTK corpus, Python Libraries.
 Achieved accuracy of 90% with both the applications.
“Class Poll”: Android Application March 2018-May 2018
 Allowed users to create, join and review on-going polls.
 Connected application with Firebase Database for instant updates.
Additional Roles
 Teacher: Taught Mathematics to undergraduate students and English to GRE/TOEFL aspiring students at
Swati Jain Academy, Indore.
Oct’18- Aug 2019
 Co-Founder- Founded the official technical club “#Include” of the IT department at SGSITS, Indore. Sep ‘18- Aug 2019
 Content Editor- Edited annual magazines for SGSITS, as the head content editor. Jan ‘16 - May 2019
 Team Leader- Represented RGPV University at the Swimming Nationals Competitions held at Chandigarh. August 2016
 Top Ranker- Awarded “Dewang Mehta Excellence Award” for being the branch topper for two years. 2015 & 2016