Montgomery Street, San Francisco, CA94105609 Johnson Ave., 49204, Tulsa, OK
Home: (555) 432-1000
Cell:
resumesample@example.com
Summary
New college graduate having experience in machine learning, parallel data processing and data warehouse/mining. Good problem solver. Actively looking for Software Development/Data Engineering full-time opportunities in Bay Area, CA.
Skills
Programming: Python, Java, C, Dr. Scheme
Database Technologies: SQL, MySQL, PL/SQL, JDBC.
OS: Linux, Unix, Mac OS, Pintos
Big Data: Hadoop, HBase, Pig, Hive, Cascading, Redshift, AWS.
Master of Science: Computer Science, Expected in 2015 College of Computer Science, Northeastern University - Boston, MA GPA:
GPA: 3.67/4.00
Relevant Coursework: Algorithms, Machine Learning, Parallel Data Processing, Program Design Paradigms, Database Management Systems, Information Retrieval, Network Security, Computer Systems.
Bachelor of Engineering: Electronics and Communication, Expected in 2008 Jabalpur Engineering College - Jabalpur, MP GPA:
Relevant Coursework: Data Structures, Computer Systems, Computer Networks, Network Analysis.
Academic Projects
Served as TA for Information Retrieval course under Professor Virgil Pavlu.
Mapreduce Algorithms in AWS: Completed assignments based on Joins in MapReduce, Secondary Sort, Pig script for Equi-Joins, efficiently loading and querying data in Hbase.
Restaurant Recommendations from Yelp Reviews: Extracted 18 numerical features (like # of positive & negative words, total chars, total punctuations, fraction of positive to total words etc.) and implemented multi-class classification model in hadoop using Bagging to train 50 decision trees based on the users reviews (Training) and predicted the user ratings (by taking majority vote from each classifier). This helped fill missing ratings and when combined with my group (Kmeans clustering on location and KNN based on user ratings) to recommend restaurants to users.
Developed from scratch classification models for Spambase dataset with prediction accuracies as: SVM using SMO93%, Naïve Bayes using distributions(Bernoulli96%, Gaussian98%, 4 Histogram 96%, 9 Histogram 90%), Gradient Descent 86%, Adaboost94% (with Active Learning95%, on 8 news groups dataset 90%), Bagging using decision trees89%, Perceptrons, Neural Networks, GDA , EM (on dummy datasets), Feature Selection & Extraction using PCA, Adaboost, Regularized Regression RIDGE, ECOC for digits dataset having 10 classes (with 50 ECOC functions) using Adaboost96% & Voting using 45 1-1 classifiers for 10 classes based on SMO90.5% etc. in Python as part of the Machine Learning coursework.
Pintos OS development: Developed basic functionality of OS by extending file systems, system calls & process scheduling.
Secure Chat App: Designed secured chat application using Java for clients to login to a Server and then authenticate a peer-to-peer secured communication with other clients. The application guaranteed Perfect Forward Secrecy and guarded against various network attacks.
Web Crawler & Page Ranking Application: Developed a web crawler in Python to get all links from website and analyzed retrieval models for Search Engine.
Developed on-boarding and client maintenance application using MySql, Java and JPA.
Developed the Financial Offer Services as part of project "Global Payment Systems" to check eligibility for installment options using Java.
Successfully designed an algorithm to find the best installment offer by efficiently comparing all non-eligible offers which improved customer satisfaction and experience.
Data Engineer Intern, 2014 to 03/2014 Align Technology – San Jose, CA,
Studied mobile application users data and generated reports using Hive, Hadoop, Oozie, Ruby, AWS, Sqoop, SQL.
Analyzed and tuned Redshift schema and queries which helped to achieve improved efficiency in stats gathering and reporting.
Developed pilot project in Cascading and compared its efficiency to Hive, which helped to expand and modularize the project effectively.
Developed architecture for storage and reporting of healthcare data using Python, Django Framework, MySQL.
Created dynamic reporting platform which allowed running analytics with user defined inputs.
IT Analyst, 08/2008 to 11/2012 American Standard Companies Inc. – Orlando, FL,
Developed architecture for the integration of Merrill Lynch and BOA using Siperian, DataStage and Oracle. Also created matching rules for pairing of client profiles.
Implemented and enhanced MDM components like validation rules, trust framework, matching rules for Global Client Hub.
Performed data mining, reporting & developed ETL jobs.
Optimized Oracle procedures and scripts for efficiency.
Certifications
Oracle Certified Developer
International Banking and Investment Certification in FTC
Interests
Running, bicycling, playing soccer, debating, playing chess.
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School Attended
College of Computer Science, Northeastern University
