Aniruddh Nathani is a data scientist with experience in Python, SQL, Java, R, NLP, and machine learning algorithms. 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 past work includes developing predictive models for stock movements and natural language processing applications for data cleaning and classification. He is proficient in tools like Tableau, SQL Server, and Jupyter notebooks.

1. Aniruddh Nathani
+1 (206)-267-8052 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.
Education
University of Washington, Seattle, WA
Master of Science in Information Management
Sept 2019- Jun 2021
Specialization – Data Science, Business Intelligence.
Shri G.S. Institute of Technology and Science, Indore, India
Bachelor of Engineering in Information Technology( GPA- 3.85/4)
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
Data Scientist - 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 data set, scanned incorrectly by the Optical Reader.
●Applied Natural Language Processing and text Analytics for data cleaning, eliminated inflectional endings using Porter-Stemmer.
●Replaced them in a required Excel file using OpenPyxl in Python working on RegEx Python.
●Bagged best intern award for giving best company gains using the Python script.
Technical Projects (All projects: Github)
Project Lead - “Intelligent Question Bank” Jan 2019 – Mar 2019
●Developed software for the University portal which aimed at improving students subject knowledge using Machine Learning.
●Developed Adaptive learning module using KPI indexing to record student’s performance and present the next set of questions.
●Analysed student performance by applying Neural Network Algorithm and using a MEAN stack application.
●Recommended specified modules which increased student performance by 80%.
Project Lead - “Towards Ensemble Methods for Predicting of Stock Movement using Google Trends Data” Feb 2018 - Sept 2018
●Predicted stocks using Machine Learning 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.
Data Scientist - “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 prediction accuracy of 90% with both the applications.
Android Developer - “Class Poll” 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 students and English to GRE/TOEFL 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