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Software Developer Data

Location:
San Jose, CA
Posted:
July 20, 2016

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Resume:

**** *** *******, *** #*** PARIN MODI http://linkedin.com/in/modiparin/en

San Jose, CA 95126 acvscg@r.postjobfree.com https://github.com/ParinModi2

(201) 238 - 4388

Objective:

Looking for fulltime position in a company where I can utilize and enhance my skills as a software engineer. Education:

M.S in Software Engineering (specialization: Enterprise Software Technology) GPA: 3.5/4.0 Dec 15 San Jose State University, San Jose, CA

Bachelor of Engineering, cumulative GPA: 8.52/10 Jun 13 Gujarat Technological University, Surat, Gujarat, India Certification:

MongoDB for Java developer - MongoDB university Mar - May 14 Technical Skills:

Programming Language: Java, C, Python

Web and Enterprise Technology: HTML, XML, CSS, Node.js, Express.js, JSP, Javascript, jQuery, AJAX, PHP Big Data Technologies: Hadoop, Pig, Hive, Mahout

Machine Learning: Mahout(Java), Weka(Java), SciKit-learn(Python), TensorFlow(Python) Web Service: REST. Amazon Web Services(AWS). Database: MySQL, MongoDB, DynamoDB, Redis, SQL Server, HANA Tools: Eclipse, Spring Tool Suit, Netbeans, BlueJ, Rational Rose, Astah, Dreamweaver, IntelliJ, Splunk Relevant Experience:

SAP Labs (Software Developer Intern) [Sept 15 - Jun 16]

● Cognitive ERP [Research phase] [RNN, Java, Tensorflow (skflow), Python(sklearn SVM)]

- Developing an ERP Bot which can work as bot for Enterprise personal mainly who regularly deals with SAP ABAP system.

- Worked on Natural Language Processing to identify the business object functions from query given by the user.

● Multidimensional Analysis [Research work] [R, SQLScript, XS Engine, Python]

- worked on building a prototype to automate the process of identifying ‘n’ attributes out of ‘m’ attributes that are relevant for KPI performance and how to find out number of combinations of these n attribute that has impact on the KPI and rank these.

● Stanford Genomics [HANA Modeling]

- Worked on Stanford Genomics project for analysing genomics and clinical data and help with the identification, curation, and classification and reporting of genetic information.

- Created data models using HANA for critical patient’s ranking based on risk score of the detected genes for the particular patient.

Logitech (Software Developer Intern) [Jun 15 - Aug 15] [SplunkJs, D3.js, Backbone.js, SANS API, Java]

● Dashboard for Anomaly Detection

- Analyse and indexed log data by Splunk Enterprise to design a dashboard of anomalies or trends with the goal of increased up-time and/or cost savings. Data retrieval had been done using Splunk Query Language. Academic Projects:

Big Data Anomaly Detection (Data security analytics) [Machine Learning (Random Forest, SVM), Python]

● A research work to inspect network traffic using machine learning algorithms such as Random Forest, SVM Pronet-Business Social Network (Cloud services) [Java, Node.js, Amazon EC2, RDS, DynamoDB, ElastiCache(Redis), Elastic Beanstalk, opsworks, S3, Highcharts, Vis.js, Spark, Mahout]

● Built a professional Networking application on the lines of Linked-in, which leverages the cloud based datastores, search and Deployment platforms and REST based architecture to deliver Job search, Job postings and professional networking experience to end users. Automated the deployment procedure using AWS Opsworks (Chef). Rent Prediction System (Data mining) [Node.js, Java, WEKA, MySQL, EJS, Highcharts, D3.js, Zillow API]

● Developed a website that provides predictive analysis of rent for all US zipcodes based on different factors such as job availability, cost of living, etc. Implemented linear regression algorithm using WEKA tool and MySQL to query the rent prediction, word cloud and effects of factors on rent. Life Force (Socket based distributed Systems) [Java, Google Protobuff, Python, Netty I/O, MongoDB]

● Built the backend of a distributed storage system, which collects, stores, replicates and streams images.

● Beside the leader election (FloodMax algorithm), implemented replication in peer nodes to increase the availability of the resource content and inter language operability using Google protobuff (Server-Java & Client-Python)



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