Rama Charan Teja Dalavai vdalavai@iupui.eduBig Data Engineer (805) 625-9578

Education:Master of Science in Computer and Information Sciences (Dec 2015)Purdue School of science, IUPUI, Indianapolis Cumulative Grade: 3.3/4.0

Bachelor of Technology, Electronics and Communications Engineering (May 2011)Jawaharlal Nehru Technological University, Kakinada Cumulative GPA: 3.42 /4.0

Professional and Educational Summary: Over 3 years of extensive experience with multinational clients in various roles as Data Scientist,

Data Analyst and Data Engineer working on big data platforms mainly Hadoop and related tools Worked for 1.5 years on various academic projects on Data Mining, Recommender Systems,

Machine Learning, Distributed Systems, Artificial Intelligence, etc. mostly related to Data Science specialization.

Certifications Cloudera Certified Developer for Apache Hadoop 10Gen MongoDB Certified Developer MapR M5 Administrator Certified Coursera Certified for R by John Hopkins University Data science specialization by John Hopkins University in progress.

Skill Set

Technology Area Tools Operating System Windows, LinuxLanguages C, Java, Scala, PythonDatabase MySql, OracleBig Data Hadoop, Hive, MapReduce, Sqoop, Flume, Solr,

Elastic Search, Splunk, Spark, Shark, kafka, Mahout, Tableau

NoSQL Databases HBase, MongoDB, Cassandra, Neo4j, Titan,RedisMachine Learning Tools R, WEKA, Keel, Matlab, Spark MlibWeb Technologies JSP, Servlets, Java Script, HTML, CSS, Jquery,

REST Web Services

Professional Work Summary

GCN Media Publishing Mar 2016 - PresentONEcount Big Data EngineerMigrate the ONEcount platform from its current MySQL architecture to an appropriate, big data engine(s) so that it can scale to meet the growing demands of expanding customer base. 

Vintech Solutions Jun 2015 – Aug 2015Product Demand Forecasting Data Scientist Intern Evaluate different machine learning techniques for the demand forecast of different products and adjust the production. This includes data ingestion cleaning using Hadoop environment and implementation of different classification techniques.

Tata Consultancy Services Jan 2012 – Aug 2014

Client: Morgan StanleyUnified Data Warehouse Big Data analyst Build Data Warehouse for archiving data, develop data access layer to provide unified data access platform for downstream applications and support various data analytics. HDFS and MongoDB are used as storage layer for warehouse depending on the required response times from the warehouse. The data ingestion flow is built using Flume, Sqoop and Kafka.

Client: Western UnionSocial Media Influencer Data Scientist and Hadoop Architect. Perform Sentiment analysis of different users from the data extracted from various social networking sites like Facebook, Twitter, Blogs and review websites. The data is ingested and cleansed using Map-Reduce. Polarity of users is evaluated using Open NLP package and Bag-of-Words approach.

Client: BarclaysMarket Trend Analyzer Big Data analystAggregate and analyze log files generated by the web servers and stock transactional information and derive useful information to identify patterns of market trends and trader’s interests. The future predictions are made about the scrip’s from the past market trends and integrating that information from the news and implementing different machine learning techniques on them.

Client: Nielsen HoldingsAssort Man Hadoop Developer.Study the effects of different variables in market on a particular product by analyzing transactional and operational Logs. Regression is implemented for SKU Rationalization, filling distribution gaps and to identify regional effects, effects of competitors, study and minimize effects of cannibalization.

Pricing Insights Hadoop Developer.

Efficient pricing strategy is determined by analyzing prices in different areas and the prices of competitors. The pricing information is extracted from various databases using Sqoop and combined with log information ingested using Flume and cleaned and pricing strategy is developed by analysis on cleaned dataset.