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Engineering Android

Santa Clara, CA
January 06, 2020

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TANMAY WAGH Santa Clara, CA 669-***-**** https:/ EDUCATION

Santa Clara University Sept 2019 - June 2021

Master of Science in Computer Science

Courses: Algorithms, Operating Systems, Machine Learning, Advance DBMS NBN Sinhgad School of Engineering, Pune, India June 2015 - May 2019 Bachelor of Engineering in Information technology GPA 3.6/4.0 Courses: Data Structures, Discrete Mathematics, Object Oriented Principles, Software Engineering TECHNICAL KNOWLEDGE

Languages: Python, R, Java, C, C++, JSON, JavaScript Web: HTML5, JavaScript, CSS3, JQuery, Bootstrap, JSON, AngularJS, Node JS, React JS Databases: Oracle, MySQL, MongoDB, Hadoop, HDFS, Hbase, Apache Spark, Apache Hive Concepts: Clustering, Agile Methodologies, Deep Learning, SVM, Decision Tree, Sentiment Analysis Tools: RStudio, Jupyter Notebook, Tableu, Eclipse, Netbeans, Anaconda, Android Studio Libraries: Numpy, pandas, scikit-learn, Keras, Tensor-flow, matplot PROJECTS

Grapes Leaf Disease Detection (Python, CNN, Nodejs, Android): May 2019

• Implemented Image processing on Grape leaf dataset to detect whether leaf is affected by disease or not

• Used CNN Algorithm for disease detection and trained a model using Keras, Tensor Flow

• Calculated accuracy and validation loss of the data and optimized the model to 98.23% accuracy

• Used Android studio to develop UI. Deployed by building server using Nodejs

• Project was sponsored by “National Research Center for Grapes”(ICAR) – India

• Published Paper in International Journal of Computer Application (IJCA) June 2019 Journal Online Feedback Application (JavaScript, HTML5, CSS3, MySQL, Jan 2019

• Developed a web application featuring modularized multi-user logins and dashboards to capture user feedbacks

• Implemented data manipulation, report generation & admin panel with JavaScript and MySQL

• Implemented triggers to impose complex integrity constraints and incorporated RSA encryption algorithm for storing the data

Sentiment Analysis on Demonetization (Hadoop, Pig): Sept 2018

• Analyzed most controversial topic of India i.e Demonetization by analyzing the tweets from twitter

• Used Hadoop Distributed file system for storing the tweets and classified the tweets as positive or negative using Map Reduce Algorithm

• Executed the Mapper and Reducer program in Apache Pig and performed Sentiment Analysis on the tweets Forest Cover type prediction (R, Regression, Decision Tree): June 2018

• Performed Logistic Regression, Decision Trees, Gradient Boosting Machines and Random Forest in R on Forest Dataset for prediction of Forest Type

• Compared all the algorithms and concluded Random Forest being most accurate with accuracy of 74.8%

• Published Paper in International Journal of Computer Application (IJCA) December 2018 Journal Travel City (Android, Java): March 2018

• Developed an Android Application which provides city guide of 10 major cities of India

• Used Google Map API to guide user from source to destination

• Hosted on Google Play Store with over 500 downloads and 4.9 rating Hostel Management System (Java, MySQL): Jan 2018

• Designed a Java based Application for management of Hostel students which consists of information about new Hosteller, update the information and keep log of hostel activities

• Formulated entity relationship diagram of the database Application using Toad and MySQL Workbench

• Implemented normalization, DDL/DML triggers and cursors, complex stored procedures

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