SRIRAM R.V

397 Roy Street N, Cell: 651-214-0610 Saint Paul, 55104, MN, https://www.linkedin.com/in/sriramrv rama7834@stthomas.edu https://github.com/sri303030

Contribute to the development of data science practices in the company and help in foreseeing the future to

solve the complex problems in smarter way with my experience, knowledge and leadership skills.

EDUCATION

University of St. Thomas, St Paul, Minnesota GPA 3.66 Masters in Data science Graduation: May 2017

Anna University, India GPA 3.75 Bachelors in Computer Science and Engineering Graduated: May 2013

BUSINESS SKILLS

Proficient in installing, configuring and testing Hadoop/Spark components.

Experience in implementing the security features for Hadoop and integrate with Kerberos authentication and authorization infrastructure.

Experience in Cluster Monitoring using Cloudera Manager.

Hands on experience in setting up the Kafka server for the cluster.

Proficient in Data analytics and Predictive modelling using Octave, MATLAB, and R.

Hands-on Experience in using supervised and unsupervised learning algorithms in Statistical modelling

Familiarity working with the popular frameworks such as AngularJS, NodeJS, SpringMVC, Struts and Hibernate.

Experience in development, design and architecture on Java, Java frameworks, JavaScript frameworks and Android development.

Strong experience in handling and analyzing unstructured data.

Can adapt quickly to new business process and technology environment.

Strong experience in building recommendation engine.

Strong project management experience in Scrum, Agile, QA, and UI Design.

TECHNICAL SKILLS

Programming Skills: C++, Java, MapReduce, Scala, Python, SQL, HTML5, CSS, JavaScript , Bootstrap

Big Data Tools: Hadoop, Spark, Hive, HBase, Pig, Sqoop, Cloudera Manager 4.5

Analytics Tools: Splunk Enterprise 6, R ,Octave ,Matlab

JavaScript and Java Frameworks: AngularJS, NodeJS, JQuery, Struts, Spring MVC

Software: Eclipse 2.4, Oracle SQL, MS office pack, Windows, Ubuntu, MS Visual basic.

Algorithms: Support Vector Machine, Linear Regression, Lasso, Gradient descent, Logistic Regression, Association Rule

WORK EXPERIENCE

FarmersEdge, Shakopee, Minnesota (July 2016 – Present)

Position: Data Scientist

Project: Predicting Yield of the Crops using Machine Learning Algorithm

Interact with software engineers, managers and scientists, to produce scalable statistical algorithms applied to real-world data.

Create ETL and data ingestion pipelines in order to prepare real world data for predictive ML algorithm.

Create and support big data storages structures along with devops team using Azure cloud services.

Consistently recommend right tools and technologies which can fit in our architecture to solve day today big data issues.

Proactively contribute to software performance optimization and continuous improvement to code quality and robustness

Seagate Technology, Bloomington, Minnesota (March 2016 – July 2016)

Position: Big Data Intern

Project: Image Classification using Machine learning algorithm

Created Image Database using HBase to store factory images and information.

Classified the image using deep learning model and random forest in Spark+H2O environment.

Project: Storing Factory Images and XML in HBase

Created table to store images uniquely as Bytes in HBase from the factory image server.

Parsed Meta information containing XML file and mapped to images in HBase table.

Created a build file to do run automatically and fetch and store images to table on hourly basis.

University of St. Thomas, Saint Paul, Minnesota (August 2015 – May 2016)

Position: Research Assistant in Data Science

Project: Precision Agriculture using Predictive Weather Analytics to Feed Future Generations

Project aims to study on how to help farmers make the best decisions with regard to planting, fertilizing and harvesting crops.

Configured Cloudera Manager 4.5 and Cloudera Hadoop environment on the cluster with configuration.

Monitored Hadoop cluster environments using Cloudera Manager.

Performed Kafka Producer task from the Arduino Chip to stream the data to Hadoop cluster.

Performed data transformation between excel and unstructured data format to remove duplicate information using Apache Spark.

Automated the Import of data from Kafka server into SparkSQL using spark streaming and Kafka consumer.

Build Queries for SparkSQL to perform analytics on weather data and images.

Virtusa Software Services Pvt. Ltd., Chennai (September 2013 – August 2015)

Position: Software Engineer – Technology,

Application: Editorial Application for Journal Publisher

Client: American Psychological Association

Developed and deployed search based application for unstructured data using Mark logic Database.

Handled data from the mark logic and use services to manipulate the data according to the client’s requirement.

Created multiple UI designs with MVC using AngularJS two way data binding and Bootstrap.

Implemented service interface between client-side and server-side using NodeJS.

Application: Website Analytics Using Web log data

Client: Money Super Market

Analyzed web log data and performed data validation.

Created Website Monitoring Model using Splunk Enterprise Proactive Monitoring.

Created reports and dashboard using Splunk 4.3 and handled log data from the psycnet web server.

Application: Social Media Analytics for Virtusa Big Data Practices

Performed Map-Reduce program with streaming Twitter data into a smart data for analytics.

Performed data mobility from Hadoop cluster to different platform using sqoop and flume.

Created MapReduce jobs in Java for data cleaning and preprocessing.

Created recommendation engine with Facebook data to determine user’s interest on specific product based on clickstream and provided the results in form of reports to improve business intelligence.

Data Zone Pvt. Ltd., Chennai (December 2012 - September 2013)

Position: Software Engineer – Intern,

Project: Contractual Compliance Based Business Interaction

Designed and deployed the webpage using JQuery and HTML.

Performed testing and validation with the application.

Constructed the data model for the oracle database.

AWARDS AND ACHIEVEMENT

Recipient of Virtusa Rave Award from Big data Team for active participation in exploring Splunk tool, January 2014.

Designed android application for monitoring public toilets and parks for Chennai Corporation, January 2014.

Coordinated and arranged interviews for students with MNC companies for Job fair held at Jeppiaar Engineering College, November 2012.