Data Software Engineer

Omkar Nibandhe

Sunnyvale, CA +1-607-***-**** ********@**********.*** linkedin.com/in/omkarnibandhe github.com/omkar-nibandhe

Available immediately, Open for relocation.

Education

State University of New York, Binghamton University Aug 2015 May 2017 Masters of Science in Computer Science (MS CS), Authorized to work, EAD GPA: 3.5/4.0

University of Pune Jun 2010 May 2014

Bachelors of Engineering in Computer Engineering (BS Distinction) GPA: 3.7/4.0

Technical Skills

Proficient: C, Java, J2EE, Junit, SQL, PL/SQL

Familiar: Hadoop, MapReduce, Spark, HDFS, Hive, Scala, Python, AWS, NoSQL, MongoDB, Cassandra, docker, Spring, REST, JSON, XML, Jackson Software, Tools and OS: Linux, Windows, Unix, Eclipse, IntellJ, Rational Rose, Weka, Tomcat, Jira, RabbitMQ, MLLib, Jenkins Courses: Design Patterns, Machine Learning, Data Mining, Design Analysis and Algorithms, Database System, System Programming, Operating Systems, Programming Languages, AWS Certified Solutions Developer (ongoing)

Experience

Sodexo, Binghamton University. Binghamton, NY

Software Developer Intern Mar 2017 Present

• Designed and deployed an MVC pattern app for the Catering manager that saves 4hr/week to schedule employees.

• Understood the scheduling problem and designed the app using Agile methodology.

• Designed and tested functional unit test cases. Working on AWS migration, Java Swings, MySQL.

Cary Institute of Ecosystem Studies Binghamton, NY Summer Research Assistant Jun 2016 Aug 2016

• Analyze, clean data and performed pattern mining on the data collected from mobile sensors.

• Designed logical model to save lake’s information for quick data retrieval from Relational Database, SQL.

• Added auto completion feature for iOS app. Made the UI look like Android version using storyboard, TDD approach using Objective C, XCODE.

PANATECH Asia Pune, India

Software Engineer Jun 2014 Jun 2015

• Ensured data warehouse was populated from crash test dummies’ data with quality entries for analysis. Generated reports using MySQL.

• Used advanced SQL implementations and data warehousing strategies focusing requirements.

• Tested newly designed features using Core Java, Junit, Maven, Eclipse and document the code.

• Used excel functions for data visualization and validation. Generate graphs.

zCON Solutions Pune, India

Software Developer Intern May 2013 May 2014

• Mastered basics of Big Data, Hadoop, ETL. Setup of own cluster of 25 multi-node increasing 60% performance on MapReduce jobs.

• Designed and deployed prediction model for BI tool on large data set from Dublin city’s smart meters using Java.

• Used Cloudera’s CHD 4.0 Hadoop distribution on Ubuntu to store data on HDFS. MapReduce jobs outputted power consumption patterns.

• AWARD: Presented at International conference Hadoop Summit, Netherland. Speaker, Hadoop Summit 2014 (Europe).

• The only student amongst IT professionals discussing Hadoop’s power for Business Application in 2014 selected from 350+ abstracts.

Projects

E-Commerce App Aug 2017 Present

• Building complete E-commerce bookstore app using Spark, Scala, Java, MongoDB handling users, products and shopping carts.

• Using RESTful web service using JAX-RS, Jersey, Spring Boot, AWS S3.

• Solving the cold start problem using geographic location and building model to recommend books based on user’s search results.

Weather Forecast App Aug 2017 Aug 2017

• Built webapp using Java Spring boot, Spring MVC acquiring data and geolocation from google API.

• Built CI/CD pipeline using Jenkins to deploy app on Heroku.

• Data model is displayed using relevant data from DarkSky API. Deployed REST web service on Heroku. https://pure-cliffs-41454.herokuapp.com

Smart Mushroom Classification as Poisonous or Edible Nov 2016 Dec 2016

• Predicting whether a mushroom is poisonous by training model using a noisy mushroom data set available at UCI machine learning repository.

• Data set contains 22 discrete features of mushroom which are used to train decision tree and Naïve Bayes classifiers using Java, R and Weka tool.

• Compared results of Training Decision Tree without pruning and observed model over fitting v/s decision pruning and model selection by cross validation.

• Created decision tree model to increase accuracy and optimism classification of data. Learnt basics of Apache Spark, MLlib

Recommender System Aug 2016 Nov 2016

• Given partially filled out matrix, my recommender system fills out all the predicted rating values.

• Developed a User-Based Collaborative Recommender System for MovieLens 100K Data-set in Java to predict the rating that a user would give to an item using Apache Mahout.

• Additionally, implemented a case of "Cold Start Problem" for users and items, which does not leave any history prediction.

• Improved item rating prediction and predicted item rating for users by achieving Root-Mean-Squared-Erro (RMSE) as low as 0.762

IPD/OPD Clinic Software, Healthcare (Live project) Aug 2012 Nov 2012

• Fabricated billing and appointment scheduling Java application for local dentist. Used DBMS/RDBMS methodologies for resolving entities of patients, doctors, bills and appointment using JDBC ODBC connection. My key role was structuring database schema, creating SQL reports. Link to Other Projects

Awards

• Speaker, Hadoop Summit 2014 Netherlands – Smart Meter Data Analytics using Hadoop

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