Aniruddh Nathani is a data scientist with experience in Python, SQL, Java, R, NLP, and machine learning. He has a Master's in Information Management from the University of Washington and a Bachelor's in IT from Shri G.S. Institute of Technology and Science in India. His work experience includes projects using ensemble methods like random forests and AdaBoost to predict stock movements. He has also developed applications including an intelligent question bank, gender prediction, and movie reviews classifiers using techniques like Naive Bayes. Additionally, he has experience teaching mathematics and English.

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, MySQL, Android Studio, Photoshop, Firebase, Github, Jupyter, Microsoft
Excel, R-studio,
Education
University of Washington, Seattle, WA
Master of Science in Information Management
Specialization – Data Science, Business Intelligence
Coursework- Data Science, Data Visualization, Machine Learning, Data Mining, Business Intelligence
Sept 2019- Jun
2021
Shri G.S. Institute of Technology and Science, Indore, India
Bachelor of Engineering in Information Technology( CGPA- 8.17/10)
Coursework- Software Engineering, Database Management System, Data Warehousing and Data Mining,
Design and Analysis of Algorithms, Computer Networking, Computer Architecture, Operating Systems
Aug 2015- May
2019
Work Experience
Xoriant Solutions Pvt. Ltd., Pune, India (Github)
 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.
May- June 2018
Technical Projects (All projects: Github)
“Intelligent Question Bank”
• Aimed at improving the subject knowledge of the students, the ML 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.
• Recommendation module provides content for improving performance on the tests.
• Worked on the MEAN stack Architecture and Neural Network Algorithm.
Jan – Mar 2019
“Towards Ensemble Methods for Predicting of Stock Movement using Google Trends Data”
 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.
Feb- Sept 2018
“Gender Prediction and Movie Reviews Classifiers”
 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.
April 2018
“Class Poll”: Android Application
 Allowed users to create, join and review on-going polls.
 Instant updates and Database connectivity using Firebase.
March-May 2018
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